{"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.