{"title":"无线传感器网络中CH选择和路由的细菌觅食优化算法","authors":"P. Lalwani, Sagnik Das","doi":"10.1109/RAIT.2016.7507882","DOIUrl":null,"url":null,"abstract":"Bacterial Foraging Optimization Algorithm (BFOA) is a widely accepted nature inspired global optimization algorithm. CH selection and Routing are well known techniques for enhancing the life of the wireless sensor networks (WSN). In two tired routing architecture, CH demises earlier due to its extra function. Therefore, proper care taken while selection of CH's. The current study focuses on solving both of the above mentioned problems using bacteria foraging algorithm. The CH selection algorithm is devised with new fitness function based on residual energy and distance. And the routing also proposed with novel fitness which considers energy and distance. The proposed algorithms are rigorously tested on different scenarios to show its performance and compared with conventional methods such as, EADC, DHCR and Hybrid Routing. Experimental results depicts that proposed algorithms performs better than existing ones.","PeriodicalId":289216,"journal":{"name":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Bacterial Foraging Optimization Algorithm for CH selection and routing in wireless sensor networks\",\"authors\":\"P. Lalwani, Sagnik Das\",\"doi\":\"10.1109/RAIT.2016.7507882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bacterial Foraging Optimization Algorithm (BFOA) is a widely accepted nature inspired global optimization algorithm. CH selection and Routing are well known techniques for enhancing the life of the wireless sensor networks (WSN). In two tired routing architecture, CH demises earlier due to its extra function. Therefore, proper care taken while selection of CH's. The current study focuses on solving both of the above mentioned problems using bacteria foraging algorithm. The CH selection algorithm is devised with new fitness function based on residual energy and distance. And the routing also proposed with novel fitness which considers energy and distance. The proposed algorithms are rigorously tested on different scenarios to show its performance and compared with conventional methods such as, EADC, DHCR and Hybrid Routing. Experimental results depicts that proposed algorithms performs better than existing ones.\",\"PeriodicalId\":289216,\"journal\":{\"name\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAIT.2016.7507882\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAIT.2016.7507882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bacterial Foraging Optimization Algorithm for CH selection and routing in wireless sensor networks
Bacterial Foraging Optimization Algorithm (BFOA) is a widely accepted nature inspired global optimization algorithm. CH selection and Routing are well known techniques for enhancing the life of the wireless sensor networks (WSN). In two tired routing architecture, CH demises earlier due to its extra function. Therefore, proper care taken while selection of CH's. The current study focuses on solving both of the above mentioned problems using bacteria foraging algorithm. The CH selection algorithm is devised with new fitness function based on residual energy and distance. And the routing also proposed with novel fitness which considers energy and distance. The proposed algorithms are rigorously tested on different scenarios to show its performance and compared with conventional methods such as, EADC, DHCR and Hybrid Routing. Experimental results depicts that proposed algorithms performs better than existing ones.