A Hybrid Fuzzy-Genetic Algorithm for Performance Optimization of Cyber Physical Wireless Body Area Networks

2019 ◽  
Vol 22 (2) ◽  
pp. 548-569 ◽  
Author(s):  
Amit Choudhary ◽  
M. Nizamuddin ◽  
Vibhav Kumar Sachan
Keyword(s):  
Genetic Algorithm ◽  
Performance Optimization ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area ◽  
Fuzzy Genetic Algorithm ◽  
Fuzzy Genetic

scholarly journals Link Reliability and Performance Optimization in Wireless Body Area Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 155392-155404
Author(s):  
Kefa G. Mkongwa ◽  
Qingling Liu ◽  
Chaozhu Zhang
Keyword(s):  
Performance Optimization ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area ◽  
Link Reliability ◽  
And Performance

scholarly journals Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Qingling Liu ◽  
Kefa G. Mkongwa ◽  
Chaozhu Zhang
Keyword(s):  
Performance Optimization ◽  
Performance Enhancement ◽  
Network Reliability ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Spectrum Management ◽  
Systemic Review ◽  
Future Research ◽  
Body Area ◽  
Healthcare Applications

AbstractThis study presents a survey of the current issues, application areas, findings, and performance challenges in wireless body area networks (WBAN). The survey discusses selected areas in WBAN signal processing, network reliability, spectrum management, security, and WBAN integration with other technologies for highly efficient future healthcare applications. The foundation of the study bases on the recent growing advances in microelectronic technology and commercialization, which ease device availability, miniaturization, and communication. The survey considers a systemic review conducted using reports, standard documents, and peer-reviewed articles. Based on the comprehensive review, we find WBANs faces several operational, standardization, and security issues, affecting performance and maintenance of user safety and privacy. We envision the increasing dependency of future healthcare on WBAN for medical and non-medical applications due to internet connectivity advances. In this view, despite the WBAN advantages in remote health monitoring, further studies need to be conducted for performance optimization. Therefore we finalize our study by proposing various current and future research directions and open issues in WBAN’s performance enhancement.

Optimization of Wireless Body Area Networks Model in Clonal Selection Quantum Genetic Algorithm

2010 ◽  
Vol 44-47 ◽  
pp. 3125-3129
Author(s):  
Huan Wang ◽  
Li Li Guo
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Algorithm ◽  
Clonal Selection ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Function Optimization ◽  
Body Area ◽  
Quantum Genetic Algorithm ◽  
Adaptive Choice

The Wireless Body Area Networks models is not formal with the different facilities. The adaptive choice of the models is very important for each special user. In order to improve the model, the authors optimize the model of Wireless Body Area Networks with the quantum genetic algorithm based on clonal selection. The clonal selection quantum (CSQ) has shown the results of experiment by quantum genetic algorithm and immune clonal selection, and the rate and precision of quantum evolutionary algorithm have been better. It gives encouraging data results when we use the algorithm to the function optimization of Wireless Body Area Networks Model with the introduction of simulation.

Genetic algorithm based sensor node classifications in wireless body area networks (WBAN)

2018 ◽  
Vol 22 (S5) ◽  
pp. 12849-12855 ◽  
Author(s):  
K. Kalaiselvi ◽  
G. R. Suresh ◽  
V. Ravi
Keyword(s):  
Genetic Algorithm ◽  
Sensor Node ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area
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