Enhancing Reliability of IEEE 802.15.6 Wireless Body Area Networks in Scheduled Access Mode and Error Prone Channels

Deepak, K. S.; Babu, A. V.

doi:10.1007/s11277-016-3254-4

Cited by 8 publications

(6 citation statements)

References 30 publications

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“…

A t t e_{(0)}

k

and

d_{0}

are designated as

16.6 dB

3.9

and

10 cm,

respectively. Other parameter settings are presented in Table 1 with reference of the IEEE 802.15.6 impulse radio UWB (IR-UWB) PHY [7,51,52,53]. …”

Section: Experimental Results and Analysis Of The Cldo Schemementioning

confidence: 99%

Cross Layer Design for Optimizing Transmission Reliability, Energy Efficiency, and Lifetime in Body Sensor Networks

Chen

Liu

2017

Sensors

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High transmission reliability, energy efficiency, and long lifetime are pivotal issues for wireless body area networks (WBANs). However, these performance metrics are not independent of each other, making it hard to obtain overall improvements through optimizing one single aspect. Therefore, a Cross Layer Design Optimal (CLDO) scheme is proposed to simultaneously optimize transmission reliability, energy efficiency, and lifetime of WBANs from several layers. Firstly, due to the fact that the transmission power of nodes directly influences the reliability of links, the optimized transmission power of different nodes is deduced, which is able to maximize energy efficiency in theory under the premise that requirements on delay and jitter are fulfilled. Secondly, a relay decision algorithm is proposed to choose optimized relay nodes. Using this algorithm, nodes will choose relay nodes that ensure a balance of network energy consumption, provided that all nodes transmit with optimized transmission power and the same packet size. Thirdly, the energy consumption of nodes is still unbalanced even with optimized transmission power because of their different locations in the topology of the network. In addition, packet size also has an impact on final performance metrics. Therefore, a synthesized cross layer method for optimization is proposed. With this method, the transmission power of nodes with more residual energy will be enhanced while suitable packet size is determined for different links in the network, leading to further improvements in the WBAN system. Both our comprehensive theoretical analysis and experimental results indicate that the performance of our proposed scheme is better than reported in previous studies. Relative to the relay selection and power control game (RSPCG) scheme, the CLDO scheme can enhance transmission reliability by more than 44.6% and prolong the lifetime by as much as 33.2%.

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“…

A t t e_{(0)}

k

and

d_{0}

are designated as

16.6 dB

3.9

and

10 cm,

respectively. Other parameter settings are presented in Table 1 with reference of the IEEE 802.15.6 impulse radio UWB (IR-UWB) PHY [7,51,52,53]. …”

Section: Experimental Results and Analysis Of The Cldo Schemementioning

confidence: 99%

Cross Layer Design for Optimizing Transmission Reliability, Energy Efficiency, and Lifetime in Body Sensor Networks

Chen

Liu

2017

Sensors

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“…E start is the start-up energy along with settling time, E tx is the transmit energy while E rx is the receive energy. The value of the energy consumption is calculated based on current consumptions given in Table I [44]. Secondly, other metric for evaluation concerned is throughput.…”

Section: Estimation Modelmentioning

confidence: 99%

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

Patel¹,

Shah²

2019

IJITEE

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Wireless sensor network is widely used to monitor sparsely generated events through a centralized system. The coverage provided by the network to monitor region of interest vary and rely on the system components of sensor node. While monitoring events from cluster head or sink through sensor nodes located at a distant, it experiences increased communication cost due to prone errors which are proportional to losses due to distance and interferences. Biotelemetry application is reviewed for the derivation of the research problem which is worked upon in the present paper. The animals move around in their habitat performing various activities which are to be monitored. The sensing tags are mounted on the animals to study the behaviour of the animals. These animals roam around in their habitat generating variation in the interferences caused for communication. Due to wide variations, the inefficiency of the sensor node in communication results in draining battery rapidly and thereby life of sensor node. So in order to improve lifetime the optimization at the sensor node is very essential to keep network alive. The technique that performs optimization needs to be lightweight in terms of processing required as well as tuning of parameter which are required for model based optimization methods. In the paper, we proposed a technique which is lightweight and can dynamically optimize operating state. It is done by adaptively configuring communication parameters to patch losses and conserve energy to enhance Sensor node lifetime. The optimization technique proposed, does parameter tuning to minimize the communication cost in sensor node through efficient search method. The results are compared with traditionally employed technique with static setting and Online Greedy Optimization Algorithm. NI LabVIEW is used to do simulation of the model and for estimating the effect of parameter reconfiguration upon application of optimization techniques

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“…The successful transmissions observed in the previous superframe are scheduled in the first round, whereas, in the second round, regular transmissions and retransmission are clumped to increase the probability of successful transmissions. The authors in [14] propose an efficient TDMA-based retransmission mechanism by using spare slots. The experiments conducted by the authors reveal that the proposed scheme improves network reliability while achieving energy efficiency in scheduled access mode.…”

Section: Related Workmentioning

confidence: 99%

“…The work proposed in [14] employs a time division multiple access-(TDMA-) based approach to use the spare slots for retransmissions. However, this scheme does not consider the number of failed transmissions by each node and rely on spare slots.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Backoff Mechanism for IEEE 802.15.4 Beacon‐Enabled Wireless Body Area Networks

Henna

Sarwar

2018

Wireless Communications and Mobile Computing

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Carrier sense multiple access mechanism with collision avoidance (CSMA/CA) in IEEE 802.15.4-based wireless body area networks (WBANs) may impair the transmission reliability of emergency traffic under high traffic loads, which may result in loss of high valued medical information. Majority of the recent proposals recommend an early retransmission of failed frame while ignoring the history of past failed transmissions. More importantly, these proposals do not consider the number of failed transmissions experienced by each sensor node, thereby affecting the reliability of retransmissions. In this paper, we propose a dynamic retransmission adaptive intelligent MAC (RAI-MAC) scheme. In our proposed scheme retransmission class of each sensor node is decided by the coordinator according to the number of failed transmissions of each node as observed by the coordinator during the last superframe. Based on the retransmission class received from the coordinator, each node adjusts its next backoff value. The proposed scheme increases the probability of successful frame retransmissions without incurring extra overhead. The simulation results prove that the proposed scheme based on its adaptive retransmission mechanism achieves higher average throughput and average end-to-end delay, while not compromising on energy efficiency as compared to the IEEE 802.15.4 and Block Acknowledgment (Block Ack). Moreover, our scheme appears more stable in terms of average throughput, end-to-end delay, and energy efficiency under different values of beacon order (BO) and superframe order (SO).

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Enhancing Reliability of IEEE 802.15.6 Wireless Body Area Networks in Scheduled Access Mode and Error Prone Channels

Cited by 8 publications

References 30 publications

Cross Layer Design for Optimizing Transmission Reliability, Energy Efficiency, and Lifetime in Body Sensor Networks

Cross Layer Design for Optimizing Transmission Reliability, Energy Efficiency, and Lifetime in Body Sensor Networks

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

An Adaptive Backoff Mechanism for IEEE 802.15.4 Beacon‐Enabled Wireless Body Area Networks

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