C. Charng, Wen-Ching Lo, Lin-Fei Sung, Shyh-In Hwang
{"title":"EDAB: energy-efficient diffusion algorithm for broadcast in wireless ad hoc networks","authors":"C. Charng, Wen-Ching Lo, Lin-Fei Sung, Shyh-In Hwang","doi":"10.1109/ISWPC.2006.1613652","DOIUrl":null,"url":null,"abstract":"In wireless ad hoc networks, broadcasting is widely used by routing protocols to disseminate link/node state information or route discovery requests. However, broadcasting by blind flooding is highly energy-intensive and may involve serious redundancy, contention, and collision known as a broadcast storm problem. In this paper, two schemes are proposed to improve broadcasting performance and energy consumption called fair energy-efficient flooding and probabilistic energy-efficient flooding respectively. Both schemes periodically perform a fully localized average-based diffusion algorithm to estimate the average network energy (ANE). Scheme I utilizes ANE to decide whether to forward a broadcast message or not. Scheme II uses probabilistic rebroadcasting by referring to ANE. Our simulation results show different levels of improvement as compared with related approaches.","PeriodicalId":145728,"journal":{"name":"2006 1st International Symposium on Wireless Pervasive Computing","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 1st International Symposium on Wireless Pervasive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWPC.2006.1613652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In wireless ad hoc networks, broadcasting is widely used by routing protocols to disseminate link/node state information or route discovery requests. However, broadcasting by blind flooding is highly energy-intensive and may involve serious redundancy, contention, and collision known as a broadcast storm problem. In this paper, two schemes are proposed to improve broadcasting performance and energy consumption called fair energy-efficient flooding and probabilistic energy-efficient flooding respectively. Both schemes periodically perform a fully localized average-based diffusion algorithm to estimate the average network energy (ANE). Scheme I utilizes ANE to decide whether to forward a broadcast message or not. Scheme II uses probabilistic rebroadcasting by referring to ANE. Our simulation results show different levels of improvement as compared with related approaches.