{"title":"基于蚁群算法的无线传感器网络路由算法","authors":"Yujun Ma, Shengbin Liang","doi":"10.12696/GSAM.2013.0939","DOIUrl":null,"url":null,"abstract":"Based on the special demand of energy control for wireless sensor network, this paper proposed an on-demand multi-path and power-saving ant colony algorithm. The algorithm balances the energy consumption and creates small network latency. It synthesizes the concept of ACO and AODV protocol. It can find multiple transmission paths from sources to the goal by parallel search. The experimental results show that the algorithm is more effective and available than MACO and ACA in routing cost and energy dissipation.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A routing algorithm of ant colony algorithm for wireless sensor network\",\"authors\":\"Yujun Ma, Shengbin Liang\",\"doi\":\"10.12696/GSAM.2013.0939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the special demand of energy control for wireless sensor network, this paper proposed an on-demand multi-path and power-saving ant colony algorithm. The algorithm balances the energy consumption and creates small network latency. It synthesizes the concept of ACO and AODV protocol. It can find multiple transmission paths from sources to the goal by parallel search. The experimental results show that the algorithm is more effective and available than MACO and ACA in routing cost and energy dissipation.\",\"PeriodicalId\":177039,\"journal\":{\"name\":\"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12696/GSAM.2013.0939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12696/GSAM.2013.0939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A routing algorithm of ant colony algorithm for wireless sensor network
Based on the special demand of energy control for wireless sensor network, this paper proposed an on-demand multi-path and power-saving ant colony algorithm. The algorithm balances the energy consumption and creates small network latency. It synthesizes the concept of ACO and AODV protocol. It can find multiple transmission paths from sources to the goal by parallel search. The experimental results show that the algorithm is more effective and available than MACO and ACA in routing cost and energy dissipation.