On improving energy saving in ieee 802.11s wireless mesh networks under mobility conditions

S. P. Shiva Prakash, T. N. Nagabhushan, K. Krinkin
{"title":"On improving energy saving in ieee 802.11s wireless mesh networks under mobility conditions","authors":"S. P. Shiva Prakash, T. N. Nagabhushan, K. Krinkin","doi":"10.1109/CCIP.2016.7802871","DOIUrl":null,"url":null,"abstract":"Owing to the self organizing, self configuring and self healing capabilities, Wireless Mesh Networks (WMN) have emerged as most powerful architectures in recent times. WMN operate with limited battery resources. To save energy, ieee 802.11s has introduced a mechanism called power save mode(PSM) which switches STA mode from active to light sleep or deep sleep mode when STA is not involved in transmission. Several models have been proposed by researchers to improve the energy saving mechanisms in 802.11s. Most of the researchers have considered node position as static while proposing their model. In WMN nodes are subjected to change their position over a period of time depending on the mobility mode and pattern. Under mobility conditions there could be higher energy consumption at STA compared to static cases. Hence in this work, we propose an energy saving model that involves STA mobility and trigger power save modes based on the remaining energy at each STA. The experiments have been conducted using RandomWayPoint mobility model in Network Simulator3. The behaviour of the model is observed by keeping STA position dynamic. The results show that energy consumption rate of STA is high under mobility conditions compared to static. By Implementing PSM under mobility situations, we are able save substantial energy thus increasing the life of the batteries associated with each STA in a WMN.","PeriodicalId":354589,"journal":{"name":"2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIP.2016.7802871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Owing to the self organizing, self configuring and self healing capabilities, Wireless Mesh Networks (WMN) have emerged as most powerful architectures in recent times. WMN operate with limited battery resources. To save energy, ieee 802.11s has introduced a mechanism called power save mode(PSM) which switches STA mode from active to light sleep or deep sleep mode when STA is not involved in transmission. Several models have been proposed by researchers to improve the energy saving mechanisms in 802.11s. Most of the researchers have considered node position as static while proposing their model. In WMN nodes are subjected to change their position over a period of time depending on the mobility mode and pattern. Under mobility conditions there could be higher energy consumption at STA compared to static cases. Hence in this work, we propose an energy saving model that involves STA mobility and trigger power save modes based on the remaining energy at each STA. The experiments have been conducted using RandomWayPoint mobility model in Network Simulator3. The behaviour of the model is observed by keeping STA position dynamic. The results show that energy consumption rate of STA is high under mobility conditions compared to static. By Implementing PSM under mobility situations, we are able save substantial energy thus increasing the life of the batteries associated with each STA in a WMN.
移动条件下ieee 802.11s无线网状网络节能改进研究
由于其自组织、自配置和自修复的能力,无线Mesh网络(WMN)已成为近年来最强大的体系结构。WMN在有限的电池资源下运行。为了节省能源,ieee 802.11s引入了一种称为省电模式(PSM)的机制,当STA不参与传输时,它可以将STA模式从活动模式切换到浅睡眠或深度睡眠模式。研究人员提出了几个模型来改进802.11s的节能机制。大多数研究人员在提出模型时都认为节点位置是静态的。在WMN中,节点会根据移动模式和模式在一段时间内改变其位置。在移动条件下,与静态情况相比,STA的能量消耗可能更高。因此,在这项工作中,我们提出了一个节能模型,该模型涉及STA迁移和触发基于每个STA剩余能量的节能模式。在Network Simulator3中使用RandomWayPoint移动模型进行了实验。通过保持STA位置动态来观察模型的行为。结果表明:与静态条件相比,在迁移条件下,STA的能耗率较高;通过在移动情况下实施PSM,我们能够节省大量能源,从而增加与WMN中每个STA相关的电池的寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信