{"title":"A data gathering algorithm based on swarm intelligence and load balancing strategy for mobile sink","authors":"Yongquan Chen, Yunjian Tang, Guoqing Xu, Huihuan Qian, Yangsheng Xu","doi":"10.1109/WCICA.2011.5970666","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce a data gathering algorithm for mobile sink in WSN system, which is based on the swarm intelligence and load balancing strategy, called SIDG-MS algorithm. The preying behaviour from swarm intelligence shows that individual could find food in swarm territorial. Each node in WSN system has limited calculation ability, memory space, energy and wireless transmission range. This action is similar with the individual of swarm intelligence. This paper focuses on the concept and elaboration of the SIDG-MS and the load balancing strategy. Experimental results validate the effectiveness of this approach. We analysis and demonstrate the effectiveness of the proposed methods over other existed methods, and defined some future work.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 9th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2011.5970666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, we introduce a data gathering algorithm for mobile sink in WSN system, which is based on the swarm intelligence and load balancing strategy, called SIDG-MS algorithm. The preying behaviour from swarm intelligence shows that individual could find food in swarm territorial. Each node in WSN system has limited calculation ability, memory space, energy and wireless transmission range. This action is similar with the individual of swarm intelligence. This paper focuses on the concept and elaboration of the SIDG-MS and the load balancing strategy. Experimental results validate the effectiveness of this approach. We analysis and demonstrate the effectiveness of the proposed methods over other existed methods, and defined some future work.