{"title":"ATC an asymmetric topology control algorithm for heterogeneous wireless sensor networks","authors":"M. Nickray, A. Afzali-Kusha","doi":"10.5220/0002984800750081","DOIUrl":null,"url":null,"abstract":"In this paper, we present an asymmetric topology control (ATC) algorithm for wireless sensor networks. In this algorithm, the sensor nodes incrementally adjust their transmission. The algorithm had three phases of Neighbor Discovery, Construct Topology, and Data Transmission. In the phase of Neighbor Discovery, the nodes exchanged their positions and maximum transmission powers. In phase II, each sensor node collaboratively adjusted its transmission range (power) while keeping the network connectivity the same as that of the case of transmitting with the maximum power. In phase III, all the nodes transmit data with the adjusted transmission power. To assess the efficiency of the proposed algorithm, its performance is compared to those of previously published works. Our algorithm not only preserve power and average node degree and average link length, it has privileges which enable it to work properly even in the absence of conventional error handling mechanisms.","PeriodicalId":332730,"journal":{"name":"2010 International Conference on Wireless Information Networks and Systems (WINSYS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Wireless Information Networks and Systems (WINSYS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0002984800750081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present an asymmetric topology control (ATC) algorithm for wireless sensor networks. In this algorithm, the sensor nodes incrementally adjust their transmission. The algorithm had three phases of Neighbor Discovery, Construct Topology, and Data Transmission. In the phase of Neighbor Discovery, the nodes exchanged their positions and maximum transmission powers. In phase II, each sensor node collaboratively adjusted its transmission range (power) while keeping the network connectivity the same as that of the case of transmitting with the maximum power. In phase III, all the nodes transmit data with the adjusted transmission power. To assess the efficiency of the proposed algorithm, its performance is compared to those of previously published works. Our algorithm not only preserve power and average node degree and average link length, it has privileges which enable it to work properly even in the absence of conventional error handling mechanisms.