{"title":"Reactive sink mobility in wireless sensor networks","authors":"D. Puccinelli, Matthew Brennan, M. Haenggi","doi":"10.1145/1247694.1247700","DOIUrl":null,"url":null,"abstract":"The ability of a sink node to move can greatly improve the fault tolerance and load balancing properties of a sensor network. Rather than assuming extensive mobility and trying to minimize the large-scale path loss between the mobile sink and the nodes, we focus on limited-scope, arbitrary mobility triggered in response to a form of network feedback. Due to multipath fading effects, limited mobility dynamically modifies the set of sink neighbors and distributes network traffic over a larger number of nodes. We illustrate the impact of this reactive sink mobility concept on data collection by implementing it on top of a novel gradient-based routing protocol. We use Berkeley motes to present a proof of concept as well as a performance evaluation of our approach, with a particular emphasis on the advantages in terms of robustness and lifetime.","PeriodicalId":198518,"journal":{"name":"International Workshop on Mobile Opportunistic Networks","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Mobile Opportunistic Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1247694.1247700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
The ability of a sink node to move can greatly improve the fault tolerance and load balancing properties of a sensor network. Rather than assuming extensive mobility and trying to minimize the large-scale path loss between the mobile sink and the nodes, we focus on limited-scope, arbitrary mobility triggered in response to a form of network feedback. Due to multipath fading effects, limited mobility dynamically modifies the set of sink neighbors and distributes network traffic over a larger number of nodes. We illustrate the impact of this reactive sink mobility concept on data collection by implementing it on top of a novel gradient-based routing protocol. We use Berkeley motes to present a proof of concept as well as a performance evaluation of our approach, with a particular emphasis on the advantages in terms of robustness and lifetime.