{"title":"基于离散粒子群算法的非凸区域传感器优化部署","authors":"A. Majid, E. Joelianto","doi":"10.1109/CCSII.2012.6470483","DOIUrl":null,"url":null,"abstract":"The rapid development of Wireless Sensor Network (WSN) has increased its application in the military, industry, medical, and environment. Coverage improvement is one of the main issue in WSN deployment. Maximum coverage ensures a better utility of the WSN. This paper considers the use of Discrete Particle Swarm Optimization (Discrete PSO) algorithm to deal with optimal deployment problem in non-convex region. Simulation results show that the Discrete PSO algorithm leads to performance improvement compared with random sensor deployment.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Optimal sensor deployment in non-convex region using Discrete Particle Swarm Optimization algorithm\",\"authors\":\"A. Majid, E. Joelianto\",\"doi\":\"10.1109/CCSII.2012.6470483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid development of Wireless Sensor Network (WSN) has increased its application in the military, industry, medical, and environment. Coverage improvement is one of the main issue in WSN deployment. Maximum coverage ensures a better utility of the WSN. This paper considers the use of Discrete Particle Swarm Optimization (Discrete PSO) algorithm to deal with optimal deployment problem in non-convex region. Simulation results show that the Discrete PSO algorithm leads to performance improvement compared with random sensor deployment.\",\"PeriodicalId\":389895,\"journal\":{\"name\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSII.2012.6470483\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Conference on Control, Systems & Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSII.2012.6470483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal sensor deployment in non-convex region using Discrete Particle Swarm Optimization algorithm
The rapid development of Wireless Sensor Network (WSN) has increased its application in the military, industry, medical, and environment. Coverage improvement is one of the main issue in WSN deployment. Maximum coverage ensures a better utility of the WSN. This paper considers the use of Discrete Particle Swarm Optimization (Discrete PSO) algorithm to deal with optimal deployment problem in non-convex region. Simulation results show that the Discrete PSO algorithm leads to performance improvement compared with random sensor deployment.