Mobile Data Transmission Research Articles

Research on SDP Key Technology in 5G Mobile Communication System

With the fifth generation mobile communication system research all-round, mobile communications company will according to the different network deployment, and related business needs through the software defined radio network control, and through data separation, the characteristics of the networked service section for customization to provide users with reasonable network services, in order to achieve flexible data transmission, network server sliced by SDP network function in the traditional mobile communication network data transmission protocol stack, combining with the code level analysis of input and output from the design, so as to achieve expected.

Efficient Fire Detection for Uncertain Surveillance Environment

Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge computing and data transmission over a 5G network. Recently, several convolutional neural networks (CNN) based methods via edge intelligence are utilized for fire detection in certain environment with reasonable accuracy and running time. However, these methods fail to detect fire in uncertain Internet of Things (IoT) environment having smoke, fog, and snow. Furthermore, achieving good accuracy with reduced running time and model size is challenging for resource constrained devices. Therefore, in this paper, we propose an efficient CNN based system for fire detection in videos captured in uncertain surveillance scenarios. Our approach uses light-weight deep neural networks with no dense fully connected layers, making it computationally inexpensive. Experiments are conducted on benchmark fire datasets and the results reveal the better performance of our approach compared to state-of-the-art. Considering the accuracy, false alarms, size, and running time of our system, we believe that it is a suitable candidate for fire detection in uncertain IoT environment for mobile and embedded vision applications during surveillance.

On Minimizing Energy Consumption in FiWi Enhanced LTE-A HetNets

As an integration of optical fiber networks and LTE-A heterogeneous networks (HetNets), fiber-wireless (FiWi) enhanced LTE-A HetNets will play a key role in supporting large-scale mobile data transmission. To improve the energy efficiency of the networks, we should put as much equipment into sleep state, and thus few user equipment (UE) can access Internet. In contrast, to maximize the UE connection all equipment should be in active state, which results in very high energy consumption. Obviously, there is a tradeoff between energy consumption minimization and UE connection maximization. However, existing works mostly focused on designing energy saving schemes for access networks but little can be found taking UE connection constraints into account. Toward this end, we provide this paper to explore the problem of minimizing energy consumption with UE connection constraints, where a constrained optimization problem is formulated and three solutions are presented, i.e., a brute force algorithm, a heuristic greedy algorithm, and a snowball rolling algorithm. Numerical results reveal that the heuristic greedy and snowball rolling algorithms have much higher computational efficiency than the brute force method, and can also achieve near-optimal solutions for the problem of minimizing energy consumption with UE connection constraints in FiWi enhanced LTE-A HetNets.

A Novel Mobile and Hierarchical Data Transmission Architecture for Smart Factories

In a smart factory environment, a much larger amount of data are transmitted in the workshop networks bringing big challenges to data transfer capability and energy usage efficiency. In the workshop, two main networks, i.e., wired/wireless fieldbus networks and wireless sensor networks, are usually used to collect and transmit data separately; thus, this paper proposes a mobile and hierarchical data transmission architecture to integrate these two networks also taking advantages from the existing mobile intelligence in smart factories, such as automatic guided vehicles (AGVs), to implement a novel data and materials delivery scheme well suited for modern industrial wireless sensor networks (IWSNs). Simulation experiments demonstrated how the proposed approach, running within the IWSN, significantly increases data delivery efficiency along with achieving better energy usage, by 4 times, with respect to the separated networks without any mobile intelligence support.

Measurement of Medium-Duty Plug-In Hybrid Electric Vehicle Fuel Economy Sensitivity to Ambient Temperature

The correlation between ambient temperature and equivalent real-world fuel economy (FE) for plug-in hybrid electric vehicles (PHEVs) is the subject of an investigation seeking to inform economic, environmental, and policy assessments of these vehicles and technologies. This paper collected seven months of 1-Hz vehicle operating data from 119 Odyne medium-duty PHEV work trucks in commercial service across the United States. The data used for this paper were collected from the vehicle’s controller area networks using mobile data collection and transmission devices. The raw data were aggregated into a central database for analysis. We present the methods of data processing, filtering, intermediate data manipulation, and analysis implemented using MATLAB, R, SQL, and Java-based Hadoop MapReduce. Regression analysis is used to calculate models describing the sensitivity of PHEV FE to ambient temperature, and the models are found to be similar to regressions for conventional vehicles (CVs) from other studies. This paper provides evidence that the sensitivity of medium-duty PHEV FE is similar to that of CVs. These results can provide guidance to researchers seeking to model real-world PHEV energy consumption.

Процесс трансформации вещной экспортно-ориентированной экономики России в цифровую

The subject of the article’s study are the statistics on the volume of sales of four hundred leading Russian companies, consolidated by media holding «Expert», on the eve of the adoption of the order of the Russian Federation Government (July 28, 2017 № 1632-p) on the approval of the national program «Digital economy of the Russian Federation». The main program’s objective is the process transformation of real export-oriented Russia economy into a digital economy. The transformation process implies gross domestic product should be generated by the production of mainly «virtual» goods. Thus, the economy digitalization implies the reorientation the productive forces of society from the production and transformation of material objects to the production and transformation of numerical arrays sphere that are stored, processed and transmitted through modern IT-infrastructure. The extent to which the economy and industry of the Russian Federation are ready for such a transformation, the state of social and productive forces to support the process of the real export-oriented economy of Russia transformation into a digital one, can be indirectly estimated by the sales volume of leading Russian companies. It is assumed that the higher the share of IT-oriented industries and companies in the total volume of leading domestic companies, the higher the degree of transformation of resource-oriented and material-intensive economy into digital economy. If we assume that banking services constitute the main part of the modern digital economy along with IT companies and mobile data transmission companies, their share in comparison with the resource companies of the top ten leading Russian companies will be more than a third percents of the sales volume. That situation makes it possible to talk about a confident process of digital transformation of the Russian economy.

Developing a Framework for Future Mobile Data Pricing

Purpose: The revenues for mobile data transmission overtook the revenue of voice calls for the first time in 2014 in the USA. It can be observed that demand for mobile data – largely driven by video and cloud - is increasing exponentially, while overall data revenue is rising only moderately. This will lead to insufficient revenues stream to increase investments into mobile networks and ensure quality service. Consequently, hereof network performance will deteriorate sharply. At the heart of the problem is the current global pricing regime of fixed multiple MB/GB bundles, irrespective of time of the day, intensity of usage (e.g. video vs. email) and underlying economic value of the data. A new framework is proposed as to optimize and align network capacity and implicit data value/utility, which is crucial to ensure customer satisfaction and access justice.Methodology/Approach: The fundamental differences in pricing voice and data in voice and/or data centric networks are analysed in detail. Information has been synthesized as to develop insights into the impact of different devises and type of digital traffic for the overall performance of mobile networks. Based hereupon, a new framework for mobile data has been proposed to address the increasing misalignment between network capacity, usage and underlying data value/utility. Initial solutions have been proposed and discussed.Findings: While voice calls are easily quantifiable and are largely predictable in its occurrence and network load implications, mobile data traffic shows very large variations depending on type of traffic. While social media messaging by many customers consumes very little capacity, consumption of video streaming by relatively few customers can lead already to network saturation.Research Limitation/implication: Carriers set prices for a fixed amount of data – irrespective of intensity and time of data traffic - which leads to sharp spiky type of traffic patterns essentially signalling sharp overuse during busy hours coexist with large period of underused times.Originality/Value of paper: A new framework for proposition building and particularly pricing of mobile data services is provided.

Self Organized Quantum Key Authentication Technique for Secure Data Communication in Mobile Ad Hoc Network

Background /Objectives: To improve the security in Mobile Ad Hoc network (MANET) by means of a Self Organized Quantum Key Authentication (SO-QKA). Methods/Statistical Analysis: The key objective of SO-QKA technique is to improve data security and mobile node authentication in MANET. Initially, SO-QKA technique generates quantum key for mobile node data transmission along the route path in MANET. Next, SO-QKA technique formulates self organized key for every mobile node with its quantum key for corresponding data transmission at specific instances. With the help of generated self organized key, SO-QKA technique finds secure route for transmitting the data in MANET. Finally, SOQKA technique is performs key matching at the destination node where the verification of the mobile node is checked with the mobile node id of self organized key and data authentication is verified with quantum key and destination id. Findings: Experimental evaluation of SO-QKA technique is done with the performance metrics such as data loss rate, data transmission rate, security, execution time. Experimental analysis shows that the SO-QKA technique is able to improve the security and also improves the data transmission rate comparable to the state-of-the-art works. Applications/ Improvements: It can be further enlarged with implementation of new algorithm model with different parameters which improves high authentication and confidentiality.

Lightweight Mobile Web Service Provisioning for the Internet of Things Mediation

Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the integrated embedded hardware and software sensor components, and mobile network technologies, smartphones are capable of providing various environmental context information via embedded mobile device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications such as mobile crowdsensing, real time mobile health monitoring, mobile social network in proximity and so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and computation power, the frequent usage of high performance multi-core mobile CPU and the high speed 3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device. Although numerous previous researchers have tried to overcome the resource intensive issues in mobile embedded service provisioning domain, most of the efforts were constrained because of the underlying resource intensive technologies. This paper presents a lightweight mobile Web service provisioning framework for mobile sensing which utilises the protocols that were designed for constrained Internet of Things environment. The prototype experimental results show that the proposed framework can provide higher throughput and less resource consumption than the traditional mobile Web service frameworks.

Optimization strategy of mobile data transmission based on optimal crowd feedback

In order to eliminate the factors that restrict the performance of wireless network data transmission, we proposed the optimal control mechanism of wireless network data transmission. The proposed mechanism solves the intelligence problem of the feedback loop, the mobility of relay nodes, and the feedback of the receiving end. On the one hand, to eliminate the external interference factors, we established an optimal feedback loop control system between the sender and the receiver. On the other hand, in the time linear region, the crowd feedback module is added to the optimal feedback closed-loop control system based on the linear weight. On the basis of the above schemes, we proposed an adaptive optimization model of mobile data transmission. The experiments compared the proposed optimal crowd feedback optimal control scheme with the optimization strategy of the data transmission. From the results of system efficiency and system throughput performance, the proposed optimal crowd feedback optimal control scheme has an obvious advantage.

Energy Consumption Minimization for FiWi Enhanced LTE-A HetNets with UE Connection Constraint

The fiber-wireless (FiWi) enhanced LTE-A HetNet, which consists of fiber optic networks as its backhaul and LTE-A HetNets as its wireless front-end, is regarded as a promising technique for a 5G radio access network to host large-scale mobile data transmission. In order to reduce the energy consumption of a FiWi enhanced LTE-A HetNet, we should offload the traffic of lightly loaded BSs to other active BSs and turn them into sleep state, while in order to provide stable service to more user equipments (UEs), we should put as many BSs into active state as possible. Obviously, there is a trade-off between minimizing the energy consumption and maximizing the number of UEs associated with the BSs. However, previous research works either focused on energy consumption minimization or placed emphasis on UE connection maximization, and few of them integrate these two parts together and give an optimal solution. Toward this end, this article studies the issues in energy consumption minimization with the UE connection constraint in FiWi enhanced LTE-A HetNets, and propose a heuristic greedy solution to find an optimal list of active BSs and their associated UEs.

COBAST: Node Eminence State and Cooperative Bait Strategy based Route Discovery to Prevent Black and Gray Hole Attacks in Mobile Ad hoc Networks

Objectives: The data transmission in Mobile ad hoc networks (MANETs) usually compromises to security issues due to their dynamic topology. One of the malicious acts of the compromised nodes is Black hole attack, which becomes a significant research challenge. Methods/Analysis: We proposed a Node Eminence State and Cooperative Bait Strategy (COBAST) based Secure Route discovery to prevent the selection of route with nodes prone to black hole attack. This contribution is an extension of our earlier model ENES. The cooperative bait strategy proposed here is discovering the suspicious nodes involvement in the selected route. The experiments were done using NS2 simulator and simulated the network with presence of divergent ratios of malicious nodes. The performance of the proposal is estimated by comparing with the results obtained from other model found in contemporary literature, which is labeled as CBDA. Findings: The conventional metrics such as end to end delivery ratio, delay and routing overhead were assessed and also performed the experiments to assess the accuracy sensitivity and specificity of black hole node discovery. The obtained results for the metrics adapted were confirming the scalability and robustness of the COBAST. Novelty/Improvement: The proposed model evinced the scalability and robustness in detection of black hole attack prone nodes under minimal computational cost. The route discovered under the proposed model also found to be optimal in end to end maximum packet delivery ratio, minimum delay.

Long-Distance Wireless mm-Wave Signal Delivery at W-Band

W-band (75–110 GHz) is a potential radio frequency band to provide long-distance wireless links for mobile data transmission. We proposed a high-speed long-distance wireless transmission link at W-band based on some enabling technologies and advanced devices, such as antenna polarization multiplexing combined with multiple-input multiple-output, large-gain/high-power W-band electrical amplifiers, high-gain small-beamwidth Cassegrain antennas, and wideband optical/electrical components. We experimentally demonstrated that our proposed wireless transmission link can realize up to 1.7-km wireless delivery of 20-Gb/s@85.5-GHz millimeter-wave signal with a bit-error rate less than $3.8 \times 10^{-3}$ .

AGILE: A terminal energy efficient scheduling method in mobile cloud computing

AbstractWith the development of mobile telecommunication technology, mobile phones have become a necessary tool in daily life and provided us many conveniences. Meanwhile, the huge number of cell phones constitute a potential high performance data processing system, called mobile cloud computing, to strengthen capacity for individual devices. Many researchers have studied about the architectures and scheduling algorithms of mobile cloud computing. However, little work has been performed about how to schedule mobile application tasks in data centers to extend battery life for mobile terminals. To address this issue, we investigate agent models, mobile energy consumption models and data transmission models under different connection environments. Based on which, we propose a novel terminal energy efficient scheduling method (AGILE for short). AGILE compares energy consumption in cloud execution and mobile execution according to the actual wireless environment, then makes energy‐efficient decisions. Extensive experiments are conducted to evaluate the performance of the AGILE under different wireless channels, and the performance impact on different parameters are studied. The experimental results indicate that the proposed method can save mobile devices' energy effectively. Copyright © 2015 John Wiley & Sons, Ltd.

Distributed web service repository

The increasing availability and popularity of computer systems has resulted in a demand for new language- and platform-independent ways of data exchange. This demand has, in turn, led to significant growth in the importance of systems based on Web services. Alongside the growing number of systems accessible via Web services came the need for specialized data repositories that could oer eective means of searching the available services. The development of mobile systems and wireless data transmission technologies has allowed us to use dis- tributed devices and computer systems on a greater scale. The accelerating growth of distributed systems might be a good reason to consider the develop- ment of distributed Web service repositories with built-in mechanisms for data migration and synchronization.

Current Impact, Future Prospects and Implications of Mobile Healthcare in India.

India has a diverse geographical landscape and predominately rural population. Telemedicine is identified as one of the technological pillars to support healthcare services in this region, but is associated with high cost and complex infrastructure, thus restricting its wider use. Mobile-based healthcare (m-Health) services may provide a practical, promising alternative approach to support healthcare facilities. India has a high mobile user base, both in cities and in rural regions. The appropriate identification of mobile data transmission technology for healthcare services is vital to optimally use the available technology. In this article, we review current telecommunication systemsin India, specifically the evolving consensus on the need for CDMA (Code Division Multiple Access - a wireless technology used by leading international and national operators. This technology is deployed in 800MHz band making it economically viable and far reaching with high quality of services) to continue its operations in India along with mobile healthcare services. We also discuss how healthcare services may be extended using m-Health technologies, given the availability of telecommunications and related services.

Space Time Block Code Analysis for MIMO-OFDM System

The growth in high data rate mobile data transmission in recent years is due to the tremendous achievements in Digital Communication especially Digital Modulation Techniques starting from Second Generation system (2G) in early 80’s to today 4G (LTE – Advanced). To achieve the goal towards Shannon’s Channel Capacity, a no. of modulation techniques are developed during these years. With the tremendous growth in the Very Large Scale Integrated Circuits (VLSI), a no. of digital modulation techniques is easier to implement in convenient manner. Orthogonal Frequency Division Multiplexing (OFDM), one of the latest techniques became feasible and economical due to the high processing speed. OFDM in combination with other techniques like Space Time Block Code (STBC)Phase shift key (PSK) and Quadrature Amplitude Modulation (QAM) give better performances in case of Multiinput Multi-output System (MIMO). This paper presents (STBC) technique for multiple transmission antennae (OFDM) system. Generally in Multiinput Multioutput (MIMO) system code selection across the space and time is difficult to get minimum Bit Error (BER) to achieve maximum output. In adaptive White Gaussian (AWGN) fading channels, STBC is best breakthrough to reduce the BER and obtain maximum output. Like AWGN fading channel the analysis is done for OFDM system using STBC at transmitter end. Various modulation techniques like Binary Phase Shift Key (BPSK) and Quadrature Amplitude Modulation are implemented using mentioned techniques. The Bit Error Rate (BER) versus different Signal to Noise (SNR) ratio are studies for above modulation techniques.

An Extension of MAC Protocol for Mobility Detection and Efficient Data Transmission

This paper introduces an extension of MAC protocol for mobility detection of nodes and efficient data transmission in mobile, multihop wireless sensor network. Here for mobility detection, receiving power of the node is consider by the transmitting node. If gradual degradation in communication link does due to degradation in receiving power, it initiates the switchover of link via the relay node for efficient data transmission. Our present implementation is done by extending the energy efficient IEEE 802.11 MAC protocol because most commonly used standard is IEEE 802.11 in sensor networks consist of small, inexpensive, resource constrained devices that communicate wirelessly in a multihop network. Here the paper shows the performance of extended MAC protocol in terms of average throughput, packet loss and average delay by varied the parameters like mobility of node and size of the packet. General Terms Mobility, Switchover, MAC protocol, Wireless sensor network

Data Transmission System Design for Environmental Monitoring System Based on 3G Network

As the accelerated development of the existing mobile communications and Internet integration, high-speed mobile access and Internet Protocol-based service become mature for different kinds of applications, which provide a great convenience for the remote wireless monitoring, mobile data transmission and so on. In this paper, an environmental monitoring data transmission system based on 3G networks is designed to transmit environmental data which is collected through sensors to server-side. The data transmission system is functioning with remote data transmission, and monitoring data reviewing at remote terminal any time. Scientific monitoring data can accurately, timely and comprehensively reflect of the various environmental parameters on-site detection status. The system components of environment monitoring platform based on virtual instrument is introduced firstly. Then, the network transmission system scheme based on Socket communication is proposed. Finally, the data transmission between LabVIEW application of monitoring terminal and PHP application of server-side through Socket interface is achieved. This system transmits well, and queries conveniently. It is safe and timely while being applied in environmental monitoring data transmission.

Effects of a telehealth programme using mobile data transmission on primary healthcare utilisation among children in Bamako, Mali

Pesinet is a non-profit organisation which operates a microinsurance programme combined with a monitoring service in low-income countries to increase primary healthcare utilisation for children. We studied the association between enrolment in the Pesinet programme and changes in utilisation of health services. We conducted a prospective controlled study in Bamako (Mali) in children under five years old. Participants in the Pesinet service were recruited from a neighbourhood of Bamako (n = 91) and participants in the control group (usual care) came from two other neighbouring districts (n = 89). Eight questionnaires were completed at 2-week intervals for each child in the study. We performed logistic regression modelling to assess the effect of the Pesinet programme on health service utilisation, adjusting for confounding variables (age and socio-economic status). During the study, families reported 206 episodes of disease in the intervention group and 168 in the control group. Children from the intervention group had 85 medical consultations and those in the control group had 28. Based on the logistic regression model, there was increased utilisation of health care services among children enrolled in the Pesinet programme, with an adjusted Odds Ratio for medical consultations of 2.2. Membership of the Pesinet telehealth programme increased primary healthcare utilisation among children under five years old in Mali.