H. Z. Abidin, S. R. Subhamaniam, N. M. Din, N. Radzi
{"title":"基于领土捕食者气味标记算法(TPSMA)传感器节点放置方案的WSN入侵检测系统","authors":"H. Z. Abidin, S. R. Subhamaniam, N. M. Din, N. Radzi","doi":"10.1109/ISCAIE.2016.7575026","DOIUrl":null,"url":null,"abstract":"An effective sensor node placement in a Wireless Sensor Network (WSN) is one of the ways to provide a WSN with maximum coverage, maximum connectivity, minimum deployment cost and minimum energy consumption. Territorial Predator Scent Marking Algorithm (TPSMA) has been recently proposed by the authors. This paper presents an intruder detection system based on TPSMA. The performance of the TPSMA intruder detection system are evaluated based on coverage ratio and connectivity probability through simulation and hardware experimentation. The results show that the simulation and hardware experimental results are of similar trend with some expected differences due to various factors.","PeriodicalId":412517,"journal":{"name":"2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme\",\"authors\":\"H. Z. Abidin, S. R. Subhamaniam, N. M. Din, N. Radzi\",\"doi\":\"10.1109/ISCAIE.2016.7575026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An effective sensor node placement in a Wireless Sensor Network (WSN) is one of the ways to provide a WSN with maximum coverage, maximum connectivity, minimum deployment cost and minimum energy consumption. Territorial Predator Scent Marking Algorithm (TPSMA) has been recently proposed by the authors. This paper presents an intruder detection system based on TPSMA. The performance of the TPSMA intruder detection system are evaluated based on coverage ratio and connectivity probability through simulation and hardware experimentation. The results show that the simulation and hardware experimental results are of similar trend with some expected differences due to various factors.\",\"PeriodicalId\":412517,\"journal\":{\"name\":\"2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAIE.2016.7575026\",\"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 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2016.7575026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
WSN based intruder detection system based on Territorial Predator Scent Marking Algorithm (TPSMA) sensor node placement scheme
An effective sensor node placement in a Wireless Sensor Network (WSN) is one of the ways to provide a WSN with maximum coverage, maximum connectivity, minimum deployment cost and minimum energy consumption. Territorial Predator Scent Marking Algorithm (TPSMA) has been recently proposed by the authors. This paper presents an intruder detection system based on TPSMA. The performance of the TPSMA intruder detection system are evaluated based on coverage ratio and connectivity probability through simulation and hardware experimentation. The results show that the simulation and hardware experimental results are of similar trend with some expected differences due to various factors.