Formulation of Energy Consumption in WSNs with Progress-Based Nearest Forwarding Policy

Sho Sasaki, Yuichi Miyaji, H. Uehara
{"title":"Formulation of Energy Consumption in WSNs with Progress-Based Nearest Forwarding Policy","authors":"Sho Sasaki, Yuichi Miyaji, H. Uehara","doi":"10.1109/CANDAR.2016.0038","DOIUrl":null,"url":null,"abstract":"A large number of battery-driven sensor nodes are deployed to operate a wireless sensor network, and thus power saving of nodes is a problem of vital significance. Many routing methods have been proposed to reduce energy consumption. In light of this fact, if it can be known how much energy consumption will be required for sensor nodes to operate a network before deploying the nodes, it will help the insight into the energy-efficient network topology. In this paper, utilizing the stochastic-geometric analysis on hop-count distributions for random planar networks, the formulation of energy consumption in wireless sensor networks which employ the progress-based nearest forwarding is offered. The formulation enables us to show how much energy is required for all nodes in the network to forward sensed data in a pre-deployment phase. The evaluation results demonstrate that the derived analytical value can approximate the simulated cost with a deviation of approximately 10%. The discussion on the deviation is then made with geographical metrics.","PeriodicalId":322499,"journal":{"name":"2016 Fourth International Symposium on Computing and Networking (CANDAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Fourth International Symposium on Computing and Networking (CANDAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CANDAR.2016.0038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A large number of battery-driven sensor nodes are deployed to operate a wireless sensor network, and thus power saving of nodes is a problem of vital significance. Many routing methods have been proposed to reduce energy consumption. In light of this fact, if it can be known how much energy consumption will be required for sensor nodes to operate a network before deploying the nodes, it will help the insight into the energy-efficient network topology. In this paper, utilizing the stochastic-geometric analysis on hop-count distributions for random planar networks, the formulation of energy consumption in wireless sensor networks which employ the progress-based nearest forwarding is offered. The formulation enables us to show how much energy is required for all nodes in the network to forward sensed data in a pre-deployment phase. The evaluation results demonstrate that the derived analytical value can approximate the simulated cost with a deviation of approximately 10%. The discussion on the deviation is then made with geographical metrics.
基于进度的最近转发策略的wsn能耗计算
无线传感器网络中部署了大量由电池驱动的传感器节点,因此节点的节能是一个至关重要的问题。为了降低能耗,人们提出了许多路由方法。鉴于这一事实,如果能够在部署节点之前知道传感器节点运行网络所需的能量消耗,将有助于洞察节能网络拓扑。本文利用随机平面网络的跳数分布的随机几何分析,给出了基于进度的最近转发无线传感器网络的能量消耗公式。该公式使我们能够显示网络中所有节点在预部署阶段转发感知数据所需的能量。评价结果表明,推导出的解析值与模拟成本接近,偏差约为10%。然后用地理度量来讨论偏差。
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