Medium Access Control Technique Research Articles

Design and Analysis of a Bandwidth Aware Adaptive Multipath N-Channel Routing Protocol for 5G Internet of Things (IoT)

Large numbers of mobile wireless nodes that can move randomly and join or leave the network at any moment make up mobile ad-hoc networks. A significant number of messages are delivered during information exchange in populated regions because of the Internet of Things' (IoT) exponential increase in connected devices. Congestion can increase transmission latency and packet loss by causing congestion. More network size, increased network traffic, and high mobility that necessitate dynamic topology make this problem worse. An adaptive Multipath Multichannel Energy Efficient (AMMEE) routing strategy is proposed in this study, in which route selection strategies depend on forecasted energy consumption per packet, available bandwidth, queue length, and channel utilization. While multichannel uses a channel-ideal assignment process to lessen network collisions, multipath offers various paths and balances network strain. The link bandwidth is split up into a few sub-channels in the multichannel mechanism. To reduce network collisions, several source nodes simultaneously access the channel bandwidth. The cooperative multipath multichannel technique offers several paths from a single source or from several sources to the destination without colliding or becoming congested. The AMMEE routing approach is the basis for path selection. A load- and bandwidth-aware routing mechanism in the proposed AMMEE chooses the path based on node energy and forecasts their lifetime, which improves network dependability. The outcome demonstrates a comparative analysis of various multichannel medium access control (MMAC) techniques, including Parallel Rendezvous Multi Channel Medium Access Protocol (PRMMAC), Quality of Service Ad hoc On Demand Multipath Distance Vector (QoS-AOMDV), Q-learning-based Multipath Routing (QMR), and Topological Change Adaptive Ad hoc On-demand Multipath Distance Vector (TA-AOMDV) and the proposed AMMEE method. The results show that the AMMEE approach outperforms alternative systems. Doi: 10.28991/ESJ-2024-08-01-018 Full Text: PDF

Medium Access Control Techniques for Massive Machine-Type Communications in Cellular IoT Networks

A key component of the Internet of things (IoT) ecosystem is wide-area network connectivity, for which cellular network technologies are a promising option through their support of massive machine-type communications (mMTC). However, numerous devices transmitting sporadically small data packets in a highly synchronized way can generate overload on the radio access network. This situation leads to a shortage of resources, especially those associated with the random access procedure for contention, control, and data transmission, causing preamble collision, control message blocking, and data collision. As a result, mMTC traffic can jeopardize the provisioning of quality of service (QoS) to end-devices, decrease the network efficiency, and increase access latency and device energy consumption. This paper proposes medium access control (MAC) techniques for addressing problems related to the support of mMTC in cellularnetworks. First, a solution for allocating control resources with QoS provisioning and access differentiation is provided, including a resource management model, a scheduling algorithm, and a message prioritization policy. Second, a mechanism for reducing data collisions is also proposed. This solution comprises a protocol in which every device with scheduled retransmission uses a probabilistic policy to decide whether to retransmit, a novel method at the device to estimate the number of nodes trying random access, and two different retransmission policies employing this estimation. Results show that the proposals support QoS, decrease access latency, decrease the device energy consumption, and increase resource utilization under massive random access.

Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities.

Direct-to-satellite Internet of Things (IoT) solutions have attracted a lot of attention from industry and academia recently, as promising alternatives for large scale coverage of a massive number of IoT devices. In this work, we considered that a cluster of IoT devices was under the coverage of a constellation of low-Earth orbit (LEO) satellites, while slotted Aloha was used as a medium access control technique. Then, we analyzed the throughput and packet loss rate while considering potentially different erasure probabilities at each of the visible satellites within the constellation. We show that different combinations of erasure probabilities at the LEO satellites and the IoT traffic load can lead to considerable differences in the system’s performance. Next, we introduce an intelligent traffic load distribution (ITLD) strategy, which, by choosing between a non-uniform allocation and the uniform traffic load distribution, guarantees a high overall system throughput, by allocating more appropriate amounts of traffic load at different positions (i.e., different sets of erasure probabilities) of the LEO constellation with respect to the IoT cluster. Finally, the results show that ITLD, a mechanism with low implementation complexity, allows the system to be much more scalable, intelligently exploiting the potential of the different positions of the satellite constellation.

A full-duplex MAC technique to improve spectrum-efficiency on 5G mobile wireless networks

Full-duplex (FD) communications shall play an important role on the next generation (5G) mobile wireless networks as they are expected to enhance spectrum usage and throughput. Unleashing the benefits of FD communications, however, requires a fitted design of medium access control (MAC) schemes. In spite of that, existing full-duplex MAC schemes are build upon the IEEE 802.11 which is designed to operate on half-duplex radios. The main contribution of this work is to propose a full-duplex communication mechanism devised to improve spectrum usage and throughput in the context of FD communications. The proposed scheme, named Full-Duplex Dynamic Scheduling MAC (FDDS-MAC), uses a novel strategy to select a communicating pair that maximizes the probability of establishing a full-duplex communication between sending and receiving nodes. A mathematical analysis of the proposed strategy is presented to show the potential improvement that can be achieved using FDDS-MAC. Moreover, in order to compare FDDS-MAC throughput with state-of-art full-duplex communications mechanisms, an analytical model addressing the details of a FD communication is proposed. Analytical evaluation shows that the proposed scheme provides throughput gain up to 50% as compared to the state-of-art full-duplex communications mechanisms. Furthermore, an enhanced version of FDDS-MAC (termed FDDS-MAC*) is proposed to further reduce the time spent selecting the receiver node that maximizes the probability of establishing a full-duplex communication. Numerical results reveals that FDDS-MAC* achieved an improvement over existing full-duplex MAC schemes up to 59% in terms of throughput, thus showing the positive impact of FDDS-MAC* deployment.

An Efficient Superframe Structure with Optimal Bandwidth Utilization and Reduced Delay for Internet of Things Based Wireless Sensor Networks.

Internet of Things (IoT) is a promising technology that uses wireless sensor networks to enable data collection, monitoring, and transmission from the physical devices to the Internet. Due to its potential large scale usage, efficient routing and Medium Access Control (MAC) techniques are vital to meet various application requirements. Most of the IoT applications need low data rate and low powered wireless transmissions and IEEE 802.15.4 standard is mostly used in this regard which offers superframe structure at the MAC layer. However, for IoT applications where nodes have adaptive data traffic, the standard has some limitations such as bandwidth wastage and latency. In this paper, a new superframe structure is proposed that is backward compatible with the existing parameters of the standard. The proposed superframe overcomes limitations of the standard by fine-tuning its superframe structure and squeezing the size of its contention-free slots. Thus, the proposed superframe adjusts its duty cycle according to the traffic requirements and accommodates more nodes in a superframe structure. The analytical results show that our proposed superframe structure has almost 50% less delay, accommodate more nodes and has better link utilization in a superframe as compared to the IEEE 802.15.4 standard.

Probabilistic Spatially-Divided Multiple Access in Underwater Acoustic Sparse Networks

Deploying Autonomous Underwater Vehicles (AUVs) is a necessity to enable a range of civilian/military underwater applications; yet, achieving a reliable coordination among the vehicles is a challenging issue due to the time- and space-varying characteristics of the acoustic communication channel. The design of a Medium Access Control (MAC) based on a probabilistic Space Division Multiple Access (SDMA) method for short/medium distances (less than $2\; \mathrm {km}$ 2 km ) is presented. This method considers the inherent vehicle position uncertainty due to the inaccuracies in models and the drift of the vehicles. It minimizes the acoustic interference statistically by considering the angular position of neighboring vehicles via a two-step estimation and by keeping the transmitter antenna's beamwidth of each vehicle at an optimal value. Such value is chosen considering three contrasting goals, i.e.: $(i)$ ( i ) spreading the signal beam towards the vehicle to combat position uncertainty using a coarse estimation; $(ii)$ ( i i ) focusing the beam to reduce acoustic energy dispersion through a fine estimation; and $(iii)$ ( i i i ) minimizing interference to other vehicles. Simulation results in a sparse underwater network show that this approach mitigates interference, reduces the probability of retransmission, and achieves higher data rates over conventional underwater MAC techniques.

Scheduling and adaptive listening approaches in MAC for WSN applications: A survey

False data detection, intrusion detection and coverage rate are major challenges in wireless sensor networks (WSN). Scheduling in media access control (MAC) using gateway and relay nodes solve some of the problems. In this paper, we carried out a brief survey on scheduling, delay aware MAC, cooperative communications in MAC, and adaptive listening to keep controlling the energy in sensors. In addition, multichannel MAC and various routing strategy techniques for WSN are discussed. Firefly algorithm for dynamic scheduling pipelined scheduling for linear sensor networks gives better throughput and latency. Heuristic configuration solves the overhearing problem, as node power-based MAC controls power of each node. Based on WSN applications and the performance metrics concentrated, various techniques for MAC are discussed throughout in this paper.

Enabling Technologies for Ultra-Reliable and Low Latency Communications: From PHY and MAC Layer Perspectives

Future 5th generation networks are expected to enable three key services—enhanced mobile broadband, massive machine type communications and ultra-reliable and low latency communications (URLLC). As per the 3rd generation partnership project URLLC requirements, it is expected that the reliability of one transmission of a 32 byte packet will be at least 99.999% and the latency will be at most 1 ms. This unprecedented level of reliability and latency will yield various new applications, such as smart grids, industrial automation and intelligent transport systems. In this survey we present potential future URLLC applications, and summarize the corresponding reliability and latency requirements. We provide a comprehensive discussion on physical (PHY) and medium access control (MAC) layer techniques that enable URLLC, addressing both licensed and unlicensed bands. This paper evaluates the relevant PHY and MAC techniques for their ability to improve the reliability and reduce the latency. We identify that enabling long-term evolution to coexist in the unlicensed spectrum is also a potential enabler of URLLC in the unlicensed band, and provide numerical evaluations. Lastly, this paper discusses the potential future research directions and challenges in achieving the URLLC requirements.

The Relation between the Probability of Collision-Free Broadcast Transmission in a Wireless Network and the Stirling Number of the Second Kind

The broadcast performance of the 802.11 wireless protocol depends on several factors. One of the important factor is the number of nodes simultaneously contending for the shared channel. The Medium Access Control (MAC) technique of 802.11 is called the Distributed Coordination Function (DCF). DCF is a Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme with binary slotted exponential backoff. A collision is the result of two or more stations transmitting simultaneously. Given the simplicity of the DCF scheme, it was adapted for Dedicated Short Range Communication (DSRC) based vehicular communication. A broadcast mechanism is used to disseminate emergency and safety related messages in a vehicular network. Emergency and safety related messages have a strict end-to-end latency of 100 ms and a Packet Delivery Ratio (PDR) of 90% and above. The PDR can be evaluated through the packet loss probability. The packet loss probability PL is given by, PL = 1 − (1−Pe)(1−PC), where Pe is the probability of channel error and PC is the probability of collision. Pe depends on several environmental and operating factors and thus cannot be improved. The only way to reduce PL is by reducing PC. Currently, expensive radio hardware are used to measure PL. Several adaptive algorithms are available to reduce PC. In this paper, we establish a closed relation between PC and the Stirling number of the second kind. Simulation results are presented and compared with the analytical model for accuracy. Our simulation results show an accuracy of 99.9% compared with the analytical model. Even on a smaller sample size, our simulation results show an accuracy of 95% and above. Based on our analytical model, vehicles can precisely estimate these real-time requirements with the least expensive hardware available. Also, once the distribution of PC and PL are known, one can precisely determine the distribution of Pe.

Sharing of Solar Energy Among Connected Devices Using Internet of Things

The converted electricity is transmitted to the other devices using the RFID tags. Medium access Control technique is used for the tag-reader link and energy efficient transmission of solar energy. The Medium access Control technique also solves the issue of collisions and interferences among nodes. The contention based approach helps us to harvest data and information harvesting through the internet. It also helps the devices to be safe and secure. It also analyzes the issues with intrusion unauthorized access of the data. So, the devices which are connected to each other can easily transmit the obtained energy and be active for the whole day. In order to provide the energy in the night time and during the rainy days, a fuel cell is used.

The Backbone Packet Radio Network coloring for Time Division Multiple Access link scheduling in Wireless Multihop Networks

A radio network consists of a set of transceiver nodes in space that communicate using broadcast radio. Since communication is done over a shared medium, transmissions are subject to collisions. Different Medium Access Control techniques are used to avoid such collisions and subsequent data loss. In this article, we study Time Division Multiple Access link scheduling in Wireless Multihop Networks. We generalize the packet radio network (PRN)‐coloring model that was used in previous works to obtain the Backbone PRN (BPRN)‐coloring. The BPRN‐coloring captures the fact that typically only a subset of links need to be scheduled, corresponding to the backbone network. We study the BPRN‐coloring and the corresponding BPRN‐chromatic index considering a rooted tree as backbone, motivated by applications in Wireless Sensor Networks. The BPRN‐chromatic index is determined when the whole graph is either a complete graph or a cycle, and we give partial results in the case of a bipartite graph. We show that determining the BPRN‐chromatic index is NP‐hard even when the network graph is bipartite, and the backbone is an oriented tree toward a root vertex. Finally, we model a ring topology as the power of a cycle graph and give an upper bound on the BPRN‐chromatic index. © 2017 Wiley Periodicals, Inc. NETWORKS, Vol. 71(4), 403–411 2018

TraPy-MAC: Traffic Priority Aware Medium Access Control Protocol for Wireless Body Area Network.

Recently, Wireless Body Area Network (WBAN) has witnessed significant attentions in research and product development due to the growing number of sensor-based applications in healthcare domain. Design of efficient and effective Medium Access Control (MAC) protocol is one of the fundamental research themes in WBAN. Static on-demand slot allocation to patient data is the main approach adopted in the design of MAC protocol in literature, without considering the type of patient data specifically the level of severity on patient data. This leads to the degradation of the performance of MAC protocols considering effectiveness and traffic adjustability in realistic medical environments. In this context, this paper proposes a Traffic Priority-Aware MAC (TraPy-MAC) protocol for WBAN. It classifies patient data into emergency and non-emergency categories based on the severity of patient data. The threshold value aided classification considers a number of parameters including type of sensor, body placement location, and data transmission time for allocating dedicated slots patient data. Emergency data are not required to carry out contention and slots are allocated by giving the due importance to threshold value of vital sign data. The contention for slots is made efficient in case of non-emergency data considering threshold value in slot allocation. Moreover, the slot allocation to emergency and non-emergency data are performed parallel resulting in performance gain in channel assignment. Two algorithms namely, Detection of Severity on Vital Sign data (DSVS), and ETS Slots allocation based on the Severity on Vital Sign (ETS-SVS) are developed for calculating threshold value and resolving the conflicts of channel assignment, respectively. Simulations are performed in ns2 and results are compared with the state-of-the-art MAC techniques. Analysis of results attests the benefit of TraPy-MAC in comparison with the state-of-the-art MAC in channel assignment in realistic medical environments.

Energy efficient selective hop selection optimization to maximize lifetime of wireless sensor network

The availability of low cost and tiny sensor devices has led to wide adoption of Wireless Sensor Networks (WSNs) for various application uses. The sensors have been adopted in various industries and organization applications such as environmental monitoring, pollution monitoring and so on. The sensor devices are powered by resources constrained battery devices and are deployed remotely. Preserving the battery of these devices is the major things in various application services. Cooperative based communication has attained wide interest due to its energy efficient benefits it offers. The major factor of cooperative transmission is selection of hop devices. Many clustering based cooperative transmission is adopted by various approach. These techniques are not efficient in enhancing the lifetime of sensor network since they considered minimizing energy consumption per bit only. To address this, we present a distributed MAC (Medium Access control) and transceiver optimization technique for selective hop device selection. The proposed model minimizes energy consumption per bit and maximizes the lifetime of sensor network. Experiments are conducted to evaluate the performance in terms of lifetime, communication overhead and node decay rate. The outcome shows significant performance improvement over existing model.

A slotted ALOHA-based cognitive radio network under capture effect in Rayleigh fading channels

In this paper, a slotted ALOHA-based cognitive radio (CR) network is proposed and the throughput performance of the proposed CR network model under Rayleigh fading channels is examined. Our CR network contains two special groups of users, primary users (PUs) and CR users (CRUs), and they are considered to be sharing a time-slotted-based common communication channel. While PUs can access the channel at any time owing to their legal right, CRUs can only access the channel when it is not occupied by the PUs. In the network model developed, PUs access the channel utilizing time division multiple access as a medium access control technique, and CRUs can access the channel by exploiting slotted ALOHA as a random access scheme when the channel is idle. In the proposed network model additive white Gaussian noise and Rayleigh channels is considered for comparison reasons. Taking capture effect into account in Rayleigh fading channels, we have obtained new equations for the throughput of the proposed CR network. We have also developed, modeled, and simulated a sample networking scenario by using MATLAB with the aim of validating the analytical throughput results. Simulation results of the proposed network model precisely match with the analytical results obtained under different network load conditions. Furthermore, it is shown that the overall channel exploitation is increased by utilizing the spectrum holes without interfering with the PUs' transmissions.

An M2M cognitive MAC protocol for overlaid OFDMA environments

AbstractMachine to machine (M2M) communications have gained in the last years an increasing interest due to ever growing number of machine‐type devices that are used in different application fields by allowing low cost and efficient communications among devices mainly in an autonomous manner. Even if M2M protocols need of dedicated resources, a new paradigm called cognitive M2M (CM2M) has been recently introduced in order to exploit cognitive/opportunistic radio communications. The aim of this paper is to outline a CM2M mechanism, where the primary network is based on the orthogonal frequency division multiple access technique, while the M2M communication‐based secondary network uses a novel medium access control technique, named data aided cognitive technique (DACT). The performance of the proposed DACT protocol is derived by means of suitable analytical methods under different operational conditions. Analytical predictions are also validated by comparisons with numerical results obtained through computer simulations, in order to show the effectiveness of the proposed solution in terms of throughput, delay, resource wastage and CM2M devices queue length; to this aim, the proposed DACT protocol has been implemented with different alternatives. Among them, an adaptive approach allows to optimise the system performance by increasing the overall throughput while keeping under control the system delay and the resource wastage. Copyright © 2015 John Wiley & Sons, Ltd.

A Multiconstrained QoS Aware MAC Protocol for Cluster-Based Cognitive Radio Sensor Networks

Traditional wireless sensor networks (WSNs) work over the unlicensed spectrum, and as the spectrum becomes increasingly crowded, they suffer from uncontrolled interference. Recently, cognitive radio based sensor networks (CRSNs) have been envisioned as a promising type of implementation that provides quality-of-service (QoS) features for data transmissions. However, key challenges remain in designing energy-efficient medium access control techniques that can achieve QoS. In this paper, we have developed a multiconstrained QoS aware MAC protocol, MQ-MAC, for a cluster based CRSN. In MQ-MAC, a data channel and a backup channel are assigned to a secondary user by the respective cluster head by using dynamic channel priorities. The user device can switch to the backup channel when a primary user appears to be operating over the data channel. Member nodes of a cluster are also prioritized with respect to the urgency of their generated data packets. Performance evaluations, carried out in NS-3 simulator, show that the proposed MQ-MAC protocol offers better performance than existing MAC protocols for CRSN.

An Efficiency Optimization Model for 802.11 Wireless Communication Channels

In 802.11 data communications is often necessary to develop communication models in order to calculate the quality parameters and to develop adaptive communication techniques. The particularities of the radio communications make quite difficult to state a complete model due to different factors which act on the 802.11 throughput: radio interferences, channel overlap, variable SNR value, CSMA/CA medium access control techniques or legacy support. The main information reflecting the quality of a transmission channel is related with bit error rate, BER. The Bit Error Rate is depending on signal to noise ratio and is related to the employed modulation technique. For this reason it is useful to have a communication model starting from a given channel bit error rate, able to allow the calculation of channel efficiency and throughput. However, the most important advantage of this type of model is related with the possibility of defining adaptive algorithms for dynamic maximization of the QoS parameters, the throughput in particular. The paper is proposing an analytical model for AWGN communication channels efficiency optimization. The proposed model allows calculating the data packet length in order to obtain the best efficiency on a communication channel in terms of useful transferred data bits or throughput. The principle is useful in implementing adaptive communications. Ill. 8, bibl. 8, tabl. 2 (in English; abstracts in English, Russian and Lithuanian).

6TiSCH: deterministic IP-enabled industrial internet (of things)

Industrial and IP-enabled low-power wireless networking technologies are converging, resulting in the Industrial Internet of Things. On the one hand, low-power wireless solutions are available today that answer the strict reliability and power consumption requirements of industrial applications. These solutions are based on Time- Synchronized Channel Hopping, a medium access control technique at the heart of industrial standards such as the WirelessHART and ISA100.11a, and layer 1 and 2 standards such as IEEE802.15.4e. On the other hand, a range of standards have been published to allow low-power wireless devices to communicate using the Internet Protocol (IP), thereby becoming true “fingers of the Internet,” and greatly simplifying their integration into existing networks. This article acknowledges the standardization effort to combine those capabilities. The networks resulting from this convergence exhibit reliability and power consumption performances compatible with demanding industrial applications, while being easy to integrate, and following the end-to-end paradigm of today's Internet. In particular, this article presents the work being done in 6TiSCH, a newly-formed working group in the Internet Engineering Task Force, which is standardizing the mechanisms making the Industrial Internet of Things a reality.

Medium access control techniques in M2M communication: survey and critical review

AbstractMachine‐to‐machine (M2M) communication has received increasing attention in recent year. An M2M network exhibits some salient features such as large number of machines/devices, low data rates, delay tolerant/sensitive, small packets, energy constrained and low or no mobility. A large number of M2M terminals may exist in a small area with many trying to simultaneously and randomly access for channel resources, which will result in overload and access problem. This increased signalling overhead and diverse requirements of machine‐type communication (MTC) devices call for the development of flexible and efficient scheduling and random access techniques. In an M2M scenario, where the network is operating at high offered load with a large number of contending transmitters, distributed random access techniques are more appropriate than centralised scheduling techniques because of less control messages and better channel utilisation. There is a need for comparison of various medium access methods that can be used in the development of an efficient hybrid M2M and human to human network. In this article, we review and compare various scheduling and random access techniques in cellular networks, particularly in Long‐Term Evolution. We also discuss how successful they are to fulfill the unique requirements of M2M communication and networking. Resource management in M2M networks with a large number of MTC devices is also discussed from the access point of view. Energy efficiency, being one of the main challenges of quality‐of‐service‐constrained M2M communication, is also discussed. Minimisation of the energy consumption is tightly bound to channel access and hence considered in the comparison of various medium access control protocols. Finally, some potential research directions related to access control and resource allocation are presented for future work. Copyright © 2014 John Wiley & Sons, Ltd.

지식기반 시스템을 활용한 수중음파통신 Smart Decision Block 매커니즘

Recently, research on Media Access Control (MAC) techniques for underwater acoustic communication has been conducted actively. For successful acoustic communication in underwater conditions, development of environmentally adaptive MAC techniques, which is taking narrow bandwidth, distance, depth, noise level, salinity, multipath and etc into account, is an especially important work. In this paper, knowledge based system is introduced not only to obtain adaptive and optimal communication parameters but also increase network efficiency and availability by requesting change of MAC techniques based on decisions from knowledge-based system Smart Decision Block (SDB). Computer simulations were also conducted to verify the performance of the proposed system in underwater conditions.