scholarly journals An Optimal Backoff Time-Based Internetwork Interference Mitigation Method in Wireless Body Area Network

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Zhijun Xie ◽  
Baocheng Wang ◽  
Jiancheng Yu ◽  
Huanming Wu ◽  
Guangyan Huang ◽  
...  
Keyword(s):  
Large Scale ◽  
Interference Mitigation ◽  
Wireless Body Area Network ◽  
Collision Probability ◽  
Area Network ◽  
Channel Utilization ◽  
Channel Switching ◽  
Body Area ◽  
Practical Applications ◽  
Overlapping Region

When multiple Wireless Body Area Networks (WBANs) are aggregated, the overlapping region of their communications will result in internetwork interference, which could impose severe impacts on the reliability of WBAN performance. Therefore, how to mitigate the internetwork interference becomes the key problem to be solved urgently in practical applications of WBAN. However, most of the current researches on internetwork interference focus on traditional cellular networks and large-scale wireless sensor networks. In this paper, an Optimal Backoff Time Interference Mitigation Algorithm (OBTIM) is proposed. This method performs rescheduling or channel switching when the performance of the WBANs falls below tolerance, utilizing the cell neighbour list established by the beacon method. Simulation results show that the proposed method improves the channel utilization and the network throughput, and in the meantime, reduces the collision probability and energy consumption, when compared with the contention-based beacon schedule scheme.

scholarly journals VLSI Implementation of an Efficient Lossless EEG Compression Design for Wireless Body Area Network

2018 ◽  
Vol 8 (9) ◽  
pp. 1474 ◽  
Author(s):  
Chiung-An Chen ◽  
Chen Wu ◽  
Patricia Abu ◽  
Shih-Lun Chen
Keyword(s):  
Large Scale ◽  
Signal Transmission ◽  
Wireless Body Area Network ◽  
Cmos Technology ◽  
Compression Rate ◽  
Body Area Network ◽  
Area Network ◽  
Body Area ◽  
Average Value ◽  
Eeg Compression

Data transmission of electroencephalography (EEG) signals over Wireless Body Area Network (WBAN) is currently a widely used system that comes together with challenges in terms of efficiency and effectivity. In this study, an effective Very-Large-Scale Integration (VLSI) circuit design of lossless EEG compression circuit is proposed to increase both efficiency and effectivity of EEG signal transmission over WBAN. The proposed design was realized based on a novel lossless compression algorithm which consists of an adaptive fuzzy predictor, a voting-based scheme and a tri-stage entropy encoder. The tri-stage entropy encoder is composed of a two-stage Huffman and Golomb-Rice encoders with static coding table using basic comparator and multiplexer components. A pipelining technique was incorporated to enhance the performance of the proposed design. The proposed design was fabricated using a 0.18 μm CMOS technology containing 8405 gates with 2.58 mW simulated power consumption under an operating condition of 100 MHz clock speed. The CHB-MIT Scalp EEG Database was used to test the performance of the proposed technique in terms of compression rate which yielded an average value of 2.35 for 23 channels. Compared with previously proposed hardware-oriented lossless EEG compression designs, this work provided a 14.6% increase in compression rate with a 37.3% reduction in hardware cost while maintaining a low system complexity.

A Survey on Game Theory based Interference Mitigation in WBASN

2021 ◽  
Vol 11 ◽  
Author(s):  
Shilpa Chaudhari ◽  
Sumukh N Aradhya ◽  
Sonia Benny Thomas ◽  
Sonali Pandey ◽  
Rohit Prasanna Sai Durbha
Keyword(s):  
Game Theory ◽  
Interference Mitigation ◽  
Wireless Body Area Network ◽  
The Body ◽  
Medical Attention ◽  
Area Network ◽  
Theory Approach ◽  
Theoretic Approach ◽  
Body Area ◽  
Game Theoretic

A wireless body area network (WBAN) consists of several sensors implanted inside the body or placed on the body, that help in the continuous monitoring of health conditions such as heart rate. The sensor nodes transmit the data to a central controller which serves as a gateway to transmit this information to medical servers and then finally to the hospitals for medical attention. Due to multiple body area networks operating in the same frequency band, interinterference takes place. The WBAN’s working in a small sphere cause inter-interference resulting in packet-loss and performance degradation. Hence, interference is a complex and challenging problem. Interference mitigations are receiving immense attention from the research community, but are far from creating a complete solution. Usage of game theoretic approach to address the interference issues is very promising. This survey paper presents the comparative analysis of existing game theoretic solutions designed to mitigate interference. As per our knowledge, this is the first survey work based on usage of game theory approach for interference mitigation in WBANs.

Effect of mobility conditions on the throughput of the Wireless Body Area Network

2020 ◽  
Vol 10 ◽  
Author(s):  
Shilpa Shinde ◽  
Santosh Sonavane
Keyword(s):  
Mathematical Model ◽  
Wireless Body Area Network ◽  
Data Rate ◽  
Hand Movements ◽  
Body Area Network ◽  
Area Network ◽  
Mobility Patterns ◽  
Body Area ◽  
Insight Into ◽  
Leg Movements

Background and objective: In the Wireless Body Area Network (WBAN) sensors are placed on the human body; which has various mobility patterns like seating, walking, standing and running. This mobility typically assisted with hand and leg movements on which most of the sensors are mounted. Previous studies were largely focused on simulations of WBAN mobility without focusing much on hand and leg movements. Thus for realistic studies on performance of the WBAN, it is important to consider hand and leg movements. Thus, an objective of this paper is to investigate an effect of the mobility patterns with hand movements on the throughput of the WBAN. Method: The IEEE 802.15.6 requirements are considered for WBAN design. The WBAN with star topology is used to connect three sensors and a hub. Three types of mobility viz. standing, walking and running with backward and forward hand movements is designed for simulation purpose. The throughput analysis is carried out with the three sets of simulations with standing, walking and running conditions with the speed of 0 m/s, 0.5 m/s and 3 m/s respectively. The data rate was increased from 250 Kb to 10000 Kb with AODV protocol. It is intended to investigate the effect of the hand movements and the mobility conditions on the throughput. Simulation results are analyzed with the aid of descriptive statistics. A comparative analysis between the simulated model and a mathematical model is also introduced to get more insight into the data. Results: Simulation studies showed that as the data rate is increased, throughput is also increased for all mobility conditions however, this increasing trend was discontinuous. In the standing (static) position, the throughput is found to be higher than mobility (dynamic) condition. It is found that, the throughput is better in the running condition than the walking condition. Average values of the throughput in case of the standing condition were more than that of the dynamic conditions. To validate these results, a mathematical model is created. In the mathematical model, a same trend is observed. Conclusion: Overall, it is concluded that the throughput is decreased due to mobility of the WBAN. It is understood that mathematical models have given more insight into the simulation data and confirmed the negative effect of the mobility conditions on throughput. In the future, it is proposed to investigate effect of interference on the designed network and compare the results.

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