{"title":"Setting and comparison of several parameters in clustering protocols for Wireless Sensor Networks","authors":"Dongmei Xing","doi":"10.1145/3507971.3508002","DOIUrl":null,"url":null,"abstract":"In Wireless Sensor Networks (WSNs), we wish the range both of perception coverage and communication coverage is same. Being the limited energy in micro sensors, we would try to minimize the energy consumption in WSNs to prolong the networks lifetime. In this paper, we analyze most change cases of two parameters in WSNs. These two parameters are the cluster size and the propagation distance of data in the network. These two parameters often need to be considered or used when we design routing strategies. It is valuable to analyze them in theory. In addition, we have done numerical simulation and comparative analysis on two factors affecting cluster size: mixfactor and density based on LEACH. We believe that the density-factor might help to extend the lifetime of the network. The energy consumption in the network would be distributed uniformly.","PeriodicalId":439757,"journal":{"name":"Proceedings of the 7th International Conference on Communication and Information Processing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Communication and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3507971.3508002","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 Wireless Sensor Networks (WSNs), we wish the range both of perception coverage and communication coverage is same. Being the limited energy in micro sensors, we would try to minimize the energy consumption in WSNs to prolong the networks lifetime. In this paper, we analyze most change cases of two parameters in WSNs. These two parameters are the cluster size and the propagation distance of data in the network. These two parameters often need to be considered or used when we design routing strategies. It is valuable to analyze them in theory. In addition, we have done numerical simulation and comparative analysis on two factors affecting cluster size: mixfactor and density based on LEACH. We believe that the density-factor might help to extend the lifetime of the network. The energy consumption in the network would be distributed uniformly.