Multiple Hop Research Articles

Design of an efficient energy based dual level co-operative route protocols in multiple hop WSNs

The design and implementation of an energy efficient dual stage cooperative routing protocol (DSCR) in multiple hop wireless nets is discussed in this paper in brief, with the goal of improving network life-time, boosting dependability, and reducing energy consumption. This contribution’s major goal is to propose an enhanced version of the double stage data transfer system that computes the routing path utilizing cooperative mechanisms and the notion of reduced node energy. The work presented here also includes talks, discussion and graphical representations of the various outcomes achieved for all of the test scenarios, as well as the relevant observations and explanations. The research paper comes to a close with the multiple hop networks’ overall conclusions remarks.

Videographic Variability of Triple and Quintuple Horizontal Hop Performance.

Horizontal hops can provide insight into how athletes can tolerate high-intensity single-leg stretch loads and are commonly used in athlete monitoring and injury management. Variables like flight, contact, and total time provide valuable diagnostic information to sports science professionals. However, gold-standard assessment tools (eg,3-dimensional motion capture, force plates) require monetary and technological resources. Therefore, we used a tablet and free software to determine the between-rater, within-rater, and test-retest variability of the temporal events of multiple horizontal hop tests. Reliability study. Nine healthy males (20.8 [1.3]y, 71.4 [9.8]kg, 171.7 [4.5]cm) across various university sports teams and clubs volunteered and performed several triple (3-Hop) and quintuple (5-Hop) horizontal hops over 3 testing sessions. Six raters detected temporal events from video to determine between-rater variability, while a single rater quantified within-session and test-retest variability. The temporal variables of flight time, ground contact time for each individual hop, and the total time of each hoping series were determined. The consistency of measures was interpreted using the coefficient of variationand interclass correlation coefficients (ICC). Good to excellent between-rater consistency was observed for all hops (ICC = .85-1.00). Absolute (coefficient of variation ≤ 2.0%) and relative consistency (ICC = .98-1.00) was excellent. Test-retest variability showed acceptable levels of absolute consistency (coefficient of variation ≤ 8.7%) and good to excellent consistency in 10/16 variables (ICC = .81-.93), especially those later in the hopping cycle. A tablet and free digitizing software are reliable in detecting temporal events during multiple horizontal hops, which could have exciting implications for power diagnostics and return-to-play decisions. Therefore, rehabilitation and performance professionals can confidently utilize the highly accessible equipment from this study to track multiple hop performances.

Effects of Hop Stabilization versus Balance Training on Disability and Balance in Chronic Ankle Instability among Basketball Players

Background: Ankle sprains, which often lead to chronic ankle instability (CAI), are common within the young, athletic population, particularly among basketball players. Rehabilitation programs frequently employ hop stabilization and balance training to mitigate the complications associated with CAI. This research was undertaken to compare the effectiveness of these two training approaches in improving disability and balance in affected individuals. Objective: The study aimed to evaluate and contrast the impact of hop stabilization versus balance training on disability and balance in basketball players with CAI. Methods: The randomized clinical trial was conducted at Ranger’s Teaching Hospital in Lahore, targeting young basketball players aged between 25 to 35 years with a history of recurrent ankle sprains and at least 8 months of playing experience. Through a non-probability convenient sampling technique, the participants were randomized into two groups: Group A underwent 6 weeks of hop stabilization training in addition to general training, while Group B participated in 6 weeks of balance training coupled with their general training regimen. The efficacy of these interventions was quantified using the Star Excursion Balance Test, Functional Ankle Disability Index, Functional Ankle Ability Measure questionnaire, and Multiple Single Leg Hop Stabilization Test (MSLHST). Results: Post-training assessments within groups indicated significant enhancements in disability and balance scores, with p-values below 0.05, suggesting notable improvements. However, when comparing the two groups, the Functional Ankle Ability Measure, Ankle Disability Index, and Star Excursion Balance Test showed no significant differences, with p-values exceeding 0.05. Notably, the MSLHST exhibited a significant contrast, with Group B showing a mean score decrease from 10.7857 to 5.7857, reflecting a 46% improvement, whereas Group A displayed a reduction in mean score from 13.625 to 11.7, a 14% enhancement, resulting in a significant p-value of 0.0289. Conclusion: The study concluded that balance training surpasses hop stabilization training in terms of efficacy, significantly improving balance and reducing disability in basketball players with chronic ankle instability.

Comparison of Multiple Hop Test Kinematics Between Force-Platforms and Video Footage – A Cross Sectional Study

Background: Multiple hop performances have been assessed using force-platforms and motion-capture cameras. However, the accessibility of these technologies might be a hindering factor for many performance coaches. Currently, tablet devices are being used as alternatives to measure jumping and hopping performances. Objective: This study aimed to compare multiple hop kinematics using the Kinovea application with force-platforms, the gold standard. Methods: Using an observational cross-sectional study design, male athletes (n=44; age 20.1 ± 1.4 years) completed triple hops (3-Hop) and quintuple hops (5-Hop) on force-platforms while being filmed using an iPad. Ground contact time, flight time and total time were analysed using Kinovea and compared with the force platform data. Results: Statistical analysis showed a high level of agreement across all variables of interest but significant differences (flight time; -2.14 to -5.96 %, ground contact time; 4.89 to 5.83 %, total time; -0.37 to -0.58%) were observed across all variables of interest. A systematic bias for flight and ground contact times were seen for 3-Hop and 5-Hop. Conclusion: The use of iPad and Kinovea application can be used as a valid alternative to measure multiple hop kinematics when performance coaches do not have access to expensive force-platforms or motion-capture cameras.

Performance analysis of a dual-hop parallel relayed mixed FSO-UWOC system

Abstract In this paper, we propose a dual-hop parallel relayed mixed free space optical-underwater optical communication (FSO-UWOC) system model to setup a high-speed communication link connecting a distant sender located at the lighthouse tower and the receiver inside the deep ocean to transmit and receive the data for the applications such as deep sea exploration, marine life study etc. The proposed model is the setup of multiple parallel cooperative dual hop communication link for the betterment of the overall system performance under the worst case scenarios. The receiver examines the end-to-end signal to noise ratio and a relay is selected which has the maximum SNR. The selected relay then decodes the incoming optical signal through FSO link into its corresponding visible light signal and further transmits it to the underwater exploration devices such as underwater drone via VLC link. The FSO link is modelled by the Gamma-Gamma fading distribution and the VLC link is modelled by Exponential Generalized Gamma distribution. The end-to-end SNR of the system is utilized to derived the outage probability of the FSO-UWOC system and the impact of the individual link parameters is studied and presented for the proposed system model.

Ethernet Information Security Protocols Based on Industrial Control Wireless Sensor Networks

This paper provides an in‐depth study and analysis of information security protocols for industrial Ethernet using wireless sensor networks. The optimal number of cluster heads for nonuniform subclustering is derived based on the sensor energy consumption model, and then, the EEUC contention radius formula is optimized to select candidate cluster heads with random values and energy as weights. A multihop approach based on the shortest offset is also proposed for intercluster information transmission. Experimental results show that the EEUC‐based improved cluster routing protocol proposed in this paper balances the node energy consumption and extends the network lifetime. In response to the problem that the coarsened hop value and average hop distance of the DV‐Hop localization algorithm cannot reflect the network topology, the improved DV‐Hop algorithm based on multicommunication radius and hop distance correction is proposed. Simulation experiments show that the improved algorithm based on multiple communication radius and hop count correction can significantly reduce the localization error and improve the accuracy of the algorithm. Aiming at the shortcomings of MRP with excessive risk concentration and transmission medium limitation, this paper proposes a fast self‐healing mechanism of industrial Ethernet with a multiexpert strategy. The PCP‐AP common platform architecture for openSAFETY sites is designed on the base sleeve of the implementation of the industrial Ethernet protocol Ethernet POWERLINK; the main communication part of POWERLINK is implemented through an FPGA hardware solution, and the openSAFETY site is implemented using AM335X high‐performance processor to implement openSAFETY security application functions. Finally, the article conducts field tests on the wireless signal information transmission, WSN data transmission, network connection, and power supply system in the system and compares and analyzes the data collected by the system with the monitoring data of the national control site. The data obtained by the system has real reliability. The communication module used is inexpensive, lightweight, and easy to operate. It can realize the collection of multiple pollution sources, and compared with traditional monitoring equipment, it avoids the difficulties of complicated wiring, difficult positioning of pollution sources, and restricted monitoring areas and largely reduces the investment in human and material resources.

Fuzzy clustering and energy resourceful routing protocol (FCER2P) for smart dust

Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibility of node energy poses a significant challenge for smart dust and may have an impact on the long-term viability of the network. As a result, constructing smart dust must take into account the need for algorithms and techniques that enable the most use of scarce resources, especially energy resources. For instance, routing algorithms are distinctive algorithms because they have a clear and direct connection with network longevity and energy. The offered routing techniques use clustering each round and single-hop data delivery to the sink. A Fuzzy Clustering and Energy Resourceful Routing Protocol (FCER2P) that reduces smart dust energy consumption and lengthens lifespan of the network is proposed in this research. Using a specified threshold, FCER2P proposes a new cluster-based fuzzy routing mechanism that can make use of clustering and multiple hop routing capabilities simultaneously. This research is innovative in that it adjusts multi-hop connectivity by anticipating the optimum intermediate node for aggregating and the sink, eliminates clustering each round while taking a fixed threshold into account, and eliminates clustering per round altogether. When choosing the intermediary node to employ, some fuzzy parameters, including residual energy, the number of neighbors, and the distance to the sink, are taken into account.

Autonomous Modulation Categorization Algorithm for Amplify and Forward Relaying Diversity Systems

Modulation categorization, which is a significant duty performed by smart receivers, is critical for applications in both the military and civilian sectors. This research topic has been intensively investigated for single-hop wireless communications. However, there are a few studies that concentrate on multiple hop communications systems. In this paper, we design a novel autonomous modulation categorization technique for amplify-and-forward relaying systems. Analytical formulations of correlation functions used as the foundation of the proposed method are developed. By exploiting the spatial redundancy, we theoretically demonstrate that a set of modulation forms produces peaks for particular correlation functions whereas the other set does not. We design a multiple-level hypothesis assessment for judgment based on this property. The suggested approach has the benefit of not requiring channel coefficients or noise power information. Computer simulations are conducted to test the proposed method’s categorization performance. The findings demonstrate that the suggested method produces appropriate results under various operating situations. The suggested approach reaches an accuracy of about one hundred percent when the SNR is 10 dB or higher. On the other hand, the traditional algorithms fail to provide acceptable performance even at high SNR.

Quadriceps tendon autograft for pediatric anterior cruciate ligament reconstruction results in promising postoperative function and rates of return to sports: A systematic review.

To assess the performance of the quadriceps tendon (QT) autograft in pediatric anterior cruciate ligament reconstruction (ACLR). A systematic search of MEDLINE, PubMed, and EMBASE was conducted on March 1, 2021. Studies of all levels of evidence reporting outcomes and/or complications after QT autograft ACLR in pediatric patients (≤ 18years old) were eligible for inclusion. Study demographics, patient demographics, reported outcomes, and complications were abstracted. Screening and data abstraction were designed in accordance with PRISMA and R-AMSTAR guidelines. Descriptive statistics were presented when applicable, with data for heterogeneous outcomes presented in narrative summary fashion. A total of 14 studies examining 596 patients (46.3% female), mean age 15.4years, were included in this systematic review. Mean postoperative Lysholm scores ranged from 94.0 to 99.5. Mean postoperative IKDC subjective scores ranged from 75.9 to 94.0. Limb symmetry index ranged from 96.8 ± 10.4 to 100.4 ± 7.6% across multiple hop tests. Return to sports (RTS) rates ranged from 88.9 to 91.7%. Eleven studies reported postoperative complications, whereby 16 patients (4.8%) experienced contralateral complications and injuries. Forty-six patients (9.4%) experienced ipsilateral complications, including ten graft failures (2.5%) and two growth disturbances (0.6%). QT autograft ACLR in the pediatric population retains the potential of regaining a preinjury level of knee stability, and yields promising postoperative function and rates of RTS, yielding comparable outcomes relative to HT autograft and the reference-standard BPTB ACLR that have previously been described in the literature. Moreover, use of the QT autograft is associated with low rates of postoperative complications, including graft failure and growth disturbances in this active and high-risk patient population in observational studies to date. Therefore, clinical equipoise exists to further appraise the influence of QT autograft on postoperative outcomes compared to aforementioned autograft options in a randomized control trial fashion. IV.

Fuzzy clustering and energy resourceful routing protocol(FCER2P) for smart dust

Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibilityof node energy poses a significant challenge for smart dust and may have an impact on the long-term viability ofthe network. As a result, constructing smart dust must take into account the need for algorithms and techniquesthat enable the most use of scarce resources, especially energy resources. For instance, routing algorithms aredistinctive algorithms because they have a clear and direct connection with network longevity and energy. Theoffered routing techniques use clustering each round and single-hop data delivery to the sink. A Fuzzy Clusteringand Energy Resourceful Routing Protocol (FCER2P) that reduces smart dust energy consumption and lengthenslifespan of the network is proposed in this research. Using a specified threshold, FCER2P proposes a newcluster-based fuzzy routing mechanism that can make use of clustering and multiple hop routing capabilitiessimultaneously. This research is innovative in that it adjusts multi-hop connectivity by anticipating the optimumintermediate node for aggregating and the sink, eliminates clustering each round while taking a fixed thresholdinto account, and eliminates clustering per round altogether. When choosing the intermediary node to employ,some fuzzy parameters, including residual energy, the number of neighbors, and the distance to the sink, are takeninto account.

Fuzzy clustering and energy resourceful routing protocol (FCER2P) for smart dust

Sensor nodes in smart dust are used to track and identify data that is being transferred to a sink. The accessibility of node energy poses a significant challenge for smart dust and may have an impact on the long-term viability of the network. As a result, constructing smart dust must take into account the need for algorithms and techniques that enable the most use of scarce resources, especially energy resources. For instance, routing algorithms are distinctive algorithms because they have a clear and direct connection with network longevity and energy. The offered routing techniques use clustering each round and single-hop data delivery to the sink. A Fuzzy Clustering and Energy Resourceful Routing Protocol (FCER2P) that reduces smart dust energy consumption and lengthens lifespan of the network is proposed in this research. Using a specified threshold, FCER2P proposes a new cluster-based fuzzy routing mechanism that can make use of clustering and multiple hop routing capabilities simultaneously. This research is innovative in that it adjusts multi-hop connectivity by anticipating the optimum intermediate node for aggregating and the sink, eliminates clustering each round while taking a fixed threshold into account, and eliminates clustering per round altogether. When choosing the intermediary node to employ, some fuzzy parameters, including residual energy, the number of neighbors, and the distance to the sink, are taken into account.

FCERP: A Novel WSNs Fuzzy Clustering and Energy Efficient Routing Protocol

Wireless sensor networks (WSNs) are set of sensor nodes to monitor and detect transmitted data to the sink. WSNs face significant challenges in terms of node energy availability, which may impact network sustainability. As a result, developing protocols and algorithms that make the best use of limited resources, particularly energy resources, is critical issues for designing WSNs. Routing algorithms, for example, are unique algorithms as they have a direct and effective relationship with lifetime of network and energy. The available routing protocols employ single-hop data transmission to the sink and clustering per round. In this paper, a Fuzzy Clustering and Energy Efficient Routing Protocol (FCERP) that lower the WSNs energy consuming and increase the lifetime of network is proposed. FCERP introduces a new cluster-based fuzzy routing protocol capable of utilizing clustering and multiple hop routing features concurrently using a threshold limit. A novel aspect of this research is that it avoids clustering per round while considering using fixed threshold and adapts multi-hop routing by predicting the best intermediary node for clustering and the sink. Some Fuzzy factors such as residual energy, neighbors amount, and distance to sink considered when deciding which intermediary node to use.

The Effect of Multiple Hop And Jump Exercises on the Power of Leg Muscles of Volleyball Athletes at Pst Club Bengkulu City

This study aims to determine whether there is an effect of Multiple Hop and Jump exercises on the leg muscle power of volleyball athletes at the PST club in Bengkulu City. This type of research is quantitative research with the research method used is a pure experimental method. The population of this study were all volleyball athletes at the Bengkulu City PST club as many as 20 people. The sampling technique in this study is total sampling. Total sampling is a sampling technique where the total population is less than 100 so that the entire population is used as the research sample, namely: 20 people consisting of 10 experimental groups and 10 control groups. The variables of this research are Multiple Hop and Jump exercises and leg muscle power for PST volleyball athletes in Bengkulu City. The data collection technique used a vertical jump test. The data analysis technique used was the t-test. Based on the results of the research above, it can be concluded that multiple hop and jump exercises affect the leg muscle power of volleyball athletes at the PST club in Bengkulu City. The increase in leg muscle power is seen in the comparison of the changes in the average pretest and posttest. From the data that has been obtained from both groups, the experimental group has a pretest result of 45.4 and an average posttest result of 51.1 with a difference of 5.7. The results of the control group with a pretest average of 42.3 and an average posttest result of 47 with a difference of 4.7. The results of tcount for the experimental group were 6.87 > ttable 1.833, while for the control group the results of tcount were 6.91 > ttable 1.833. Then the data from the pretest and posttest results from the two groups were declared significant. Thus the hypothesis which reads "Is there any effect of multiple hop and jump exercises on the leg muscle power of volleyball athletes at the Bengkulu City PST club", was accepted.

Predator–prey optimization based clustering algorithm for wireless sensor networks

Grouping the sensor nodes into clusters is an effective way to organize wireless sensor networks and to prolong the networks’ lifetime. This paper presents a static clustering algorithm that employs predator–prey optimization (PPO) for identifying cluster heads as well as routes for sending data to the sink. The objective of the optimization algorithm is to reduce the energy consumed in data collection and transmission, to achieve equalization in energy utilization by the wireless sensor nodes and to prolong the wireless sensor network lifetime while avoiding the expenses of cluster reformation in each communication round. The novelty of this algorithm is to treat the identification of cluster heads and the choice of transmission paths a unified optimization problem of minimizing the total energy cost of the network, whereas existing algorithms consider them two separate optimization sub-problems. PPO algorithm is applied to select the most appropriate pair of cluster heads for each cluster. It also identifies the optimum communication path, which can be single or multiple hop. The energy consumed in data transmission is reduced and a uniformity in residual energy of the nodes is achieved. The performance of the novel algorithm has been evaluated by observing the patterns in which nodes consume their energies. The number of packets that are successfully delivered has been found to be better than the existing static clustering algorithms, and at par with the finest dynamic clustering algorithms.

There is a difference in functional ankle stability between different types of footwear in male athletes: A cross-sectional study

ContextLateral ankle sprains (LAS) are among the most common injuries in sports, with a poor long – term prognosis due to high chronicity and recurrence rates. Chronic ankle instability (CAI) results up to 40% of people that endured a first – time LAS. ObjectiveThe aim of this study was to compare ankle stability between groups characterised by the use of different types of footwear during their sport activities. DesignCross-sectional study. SettingFirm training surface, local sport clubs. ParticipantsFifty - one male subjects were recruited, distributed in four groups based on the type of footwear they use during their sport activities. Main outcome measuresAll subjects performed four clinical ankle stability tests, and completed the Dutch version of the Cumberland Ankle Instability Tool (CAIT) and Profile of Mood States (POMS). All clinical ankle stability tests were performed barefoot. ResultsSubjects performing their sport activities barefoot scored better than subjects performing their sport with shoes at the multiple hop test (p=.002 to .047) and executed the figure–of–8 hop test significantly faster than subjects with submalleolar ankle support (AS) (p=.019). Subjects with submalleolar AS and studs showed significantly better results than subjects with supramalleolar AS on the CAIT– score (p=.024, p=.030) and the side– hop test (p=.050, p=.045). They also scored significantly better than subjects with submalleolar AS for the side – hop test (p=.032), foot – lift test (p=.019) and figure–of 8 hop test (p=.011). ConclusionBarefoot sports performing subjects appear to have better ankle stability compared to subjects performing their sports with shoe support. Subjects performing sports with high AS appear to have worst ankle stability. Level of evidence: Level III, Cross–sectional study.

The Performance Analysis of Spectrum Sharing Between UAV Enabled Wireless Mesh Networks and Ground Networks

Unmanned aerial vehicle (UAV) has the advantages of large coverage and flexibility, which could be applied in disaster management to provide wireless services to the rescuers and victims. When UAVs forms an aerial mesh network, line-of-sight (LoS) air-to-air (A2A) communications have long transmission distance, which extends the coverage of multiple UAVs. However, the capacity of UAV is constrained due to the multiple hop transmissions in aerial mesh networks. In this paper, spectrum sharing between UAV enabled wireless mesh networks and ground networks is studied to improve the capacity of UAV networks. Considering two-dimensional (2D) and three-dimensional (3D) homogeneous Poisson point process (PPP) modeling for the distribution of UAVs within a vertical range $\Delta \textit h$ , stochastic geometry is applied to analyze the impact of the height of UAVs, the transmit power of UAVs, the density of UAVs and the vertical range, etc., on the coverage probability of ground network user and UAV network user. Besides, performance improvement of spectrum sharing with directional antenna is verified. With the object function of maximizing the transmission capacity, the optimal altitude of UAVs is obtained. This paper provides a theoretical guideline for the spectrum sharing of UAV enabled wireless mesh networks, which may contribute significant value to the study of spectrum sharing mechanisms for UAV enabled wireless mesh networks.

Enhancing lifetime of wireless multimedia sensor networks using modified lion algorithm–based image transmission model

PurposeIn the past few decades, the wireless sensor network (WSN) has become the more vital one with the involvement of the conventional WSNs and wireless multimedia sensor networks (WMSNs). The network that is composed of low-power, small-size, low-cost sensors is said to be WSN. Here, the communication information is handled using the multiple hop and offers only a simple sensing data, such as humidity, temperature and so on, whereas WMSNs are referred as the distributed sensing networks that are composed of video cameras, which contain the sector sense area. These WMSNs can send, receive and process the video information data, which is more intensive and complicated by wrapping with wireless transceiver. The WSNs and the WMSNs are varied in terms of their characteristic of turnablity and directivity.Design/methodology/approachThe main intention of this paper is to maximize the lifetime of network with reduced energy consumption by using an advanced optimization algorithm. The optimal transmission radius is achieved by optimizing the system parameter to transmit the sensor information to the consequent sensor nodes, which are contained within the range. For this optimal selection, this paper proposes a new modified lion algorithm (LA), the so-called cub pool-linked lion algorithm (CLA). The next contribution is on the optimal selection of cluster head (CH) by the proposed algorithm. Finally, the performance of proposed model is validated and compared over the other traditional methods in terms of network energy, convergence rate and alive nodes.FindingsThe proposed model's cost function relies in the range of 74–78. From the result, it is clear that at sixth iteration, the proposed model’s performance attains less cost function, that is, 11.14, 9.78, 7.26, 4.49 and 4.13% better than Genetic Algorithm (GA), Dragonfly Algorithm (DA), Particle Swarm Optimization (PSO), Glowworm Swarm Optimization (GSO) and Firefly (FF), correspondingly. The performance of the proposed model at eighth iteration is 14.15, 7.96, 4.36, 7.73, 7.38 and 3.39% superior to GA, DA, PSO, GSO, FF and LA, correspondingly with less convergence rate.Originality/valueThis paper presents a new optimization technique for increasing the network lifetime with reduced energy consumption. This is the first work that utilizes CLA for optimization problems.

Using functional movement tests to investigate the presence of sensorimotor impairment in amateur athletes following sport-related concussion: A prospective, longitudinal study

ObjectiveTo longitudinally investigate the presence of sensorimotor impairments in amateur athletes following sport-related concussion using two functional movement tests. DesignProspective, longitudinal study. SettingHuman movement analysis laboratory. ParticipantsAthletes who presented to a hospital emergency department and were diagnosed with sport-related concussion, and sex-, age-, and activity-matched non-concussed, control athletes. Concussed participants were assessed within one-week following sport-related concussion, upon clearance to return-to-sporting activity (RTA), and two weeks after RTA. Control participants were assessed at an initial time-point and approximately two and four weeks following their initial study assessment. Main outcomes measuresAt each laboratory assessment, participants completed two functional movement tests: the Star Excursion Balance Test to evaluate anterior reach distance (normalised for leg length) and fractal dimension (centre of pressure path complexity), and the Multiple Hop Test to evaluate corrective postural strategies and time-to-stabilisation. ResultsFifty concussed athletes and 50 control athletes completed the study. There were no significant differences at any study assessment between the concussion and control group on the Star Excursion Balance Test anterior reach distance or fractal dimension (centre of pressure path complexity). During the Multiple Hop Test, the concussion group used a significantly greater number of corrective postural strategies than the control group one-week following sport-related concussion and upon clearance to RTA, but not two weeks following RTA. ConclusionRecently concussed athletes made a greater number of corrective postural strategies than control participants during the Multiple Hop Test upon clearance to RTA but not two weeks after RTA. The Multiple Hop Test may offer a clinically useful tool for practitioners to examine the recovery of subtle sensorimotor impairments and related RTA readiness.

Statistical Channel Knowledge-Based Distributed Power Allocation for Analog Network Coding in High SNR

A novel distributed power allocation scheme for analog network coding (ANC) in high signal-to-noise ratio (SNR) is proposed by using statistical channel knowledge at the transmitters only. The scheme considers nonorthogonal amplified-and- forward (NAF) protocol. In the derivation, a general Rayleigh fading multiple hop network is accurately approximated by a simpler two hop network, and the closed-formed expression for the outage probability of the simplified two hop network is obtained and optimized with respect to the power allocation. Numerical results show that the derived power allocation scheme has significant performance gain over the equal power scheme. In some cases, it approaches the optimal scheme.

The k-hop-limited V2V2I VANET data offloading using the Mobile Edge Computing (MEC) mechanism

The traditional Vehicular ad hoc Network (VANET) data offloading was enabled when a vehicle is inside the signal coverage of an IEEE 802.11p Road Side Unit (RSU) or Wi Fi Access Point (AP). This work proposed to have the VANET data offloading from cellular network's Base Station (BS) to IEEE 802.11p RSU or Wi Fi AP using the multiple hop vehicular to vehicular (V2V) path that can connect with the ahead or the rear RSU/AP to increase the possibility of VANET data offloading. The aforementioned scenario is called V2V2I VANET offloading in this work. The key point of the proposed V2V2I VANET offloading is how to find the multiple hop V2V path that can connect the ahead/rear RSU/AP from the source vehicle to have the VANET data offloading as early as possible and as long as possible. This work proposed the Mobile Edge Computing (MEC)-based method to tackle related issues for the V2V2I VANET offloading. Based on MEC's centralized computing paradigm, each vehicle reports its context to the MEC server periodically. Since a multiple hop V2V path becomes more unstable when the path has a bigger number of hops, the MEC server gathers reported contexts from vehicles and then uses the proposed k-hop-limited Offloading Time-based V2V2I offloading path Selection (k-hop-limited OTS) method to find the suitable V2V2I VANET offloading path for vehicle V before (after) V entering into (has left) the signal coverage of the ahead (rear) RSU/AP. The performance analysis shown that the proposed MEC-based V2V2I VANET offloading method outperforms the traditional V2I VANET offloading method in different vehicle density's situations.