{"title":"Energy-efficiency optimization and the comparative performance analysis for Wireless Body Area Networks (WBANs)","authors":"Neha Arora , Sindhu Hak Gupta , Basant Kumar","doi":"10.1016/j.suscom.2024.100975","DOIUrl":null,"url":null,"abstract":"<div><p>This paper examines the energy efficiency of a non-cooperative and cooperative On-body Wireless Body Area Network<span><span> (WBAN) and link reliability in a cooperative WBAN using IEEE 802.15.6 based CM3A channel model. The proposed energy optimization framework is based on </span>Whale Optimization Algorithm<span> (WOA) and Particle Swarm Optimization<span> (PSO) techniques. For the optimized code rate, obtained results illustrate that WOA gives 44.7%. and 43.4% better results for the non-cooperative and cooperative cases respectively than the PSO. The link reliability has been investigated by observing the effect of the fading parameter (m) on the outage probability<span> over the Nakagami m fading channel. The obtained results reveal how the fading parameter (m) affected the likelihood of an outage.</span></span></span></span></p></div>","PeriodicalId":48686,"journal":{"name":"Sustainable Computing-Informatics & Systems","volume":"42 ","pages":"Article 100975"},"PeriodicalIF":3.8000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Computing-Informatics & Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210537924000209","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
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Abstract
This paper examines the energy efficiency of a non-cooperative and cooperative On-body Wireless Body Area Network (WBAN) and link reliability in a cooperative WBAN using IEEE 802.15.6 based CM3A channel model. The proposed energy optimization framework is based on Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) techniques. For the optimized code rate, obtained results illustrate that WOA gives 44.7%. and 43.4% better results for the non-cooperative and cooperative cases respectively than the PSO. The link reliability has been investigated by observing the effect of the fading parameter (m) on the outage probability over the Nakagami m fading channel. The obtained results reveal how the fading parameter (m) affected the likelihood of an outage.
期刊介绍：
Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.
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