{"title":"基于图的无线传感器网络准规则部署策略的性能评价","authors":"I. Snigdh, N. Gupta","doi":"10.1109/SPACES.2015.7058301","DOIUrl":null,"url":null,"abstract":"Quasi is a combining form meaning \"resembling,\" \"having some, but not all of the features of\" any particular entity. We use quasi to emulate regularity in deployment of a sensor network. Most wireless networks focus on bandwidth assurances. We study the effect of network topology though effective deployment strategy to improve the energy consumption and delay metrics, essential for typical real time sensor network applications. This paper analyzes the performance of quasi random strategy against deterministic, random based methods under a given set of protocols and network parameters. We justify that the quasi random method improves the energy conservation and reduces the end to end delay of the networks considered.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"77 12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Performance evaluation of quasi regular deployment strategy in graph based wireless sensor networks\",\"authors\":\"I. Snigdh, N. Gupta\",\"doi\":\"10.1109/SPACES.2015.7058301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quasi is a combining form meaning \\\"resembling,\\\" \\\"having some, but not all of the features of\\\" any particular entity. We use quasi to emulate regularity in deployment of a sensor network. Most wireless networks focus on bandwidth assurances. We study the effect of network topology though effective deployment strategy to improve the energy consumption and delay metrics, essential for typical real time sensor network applications. This paper analyzes the performance of quasi random strategy against deterministic, random based methods under a given set of protocols and network parameters. We justify that the quasi random method improves the energy conservation and reduces the end to end delay of the networks considered.\",\"PeriodicalId\":432479,\"journal\":{\"name\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"volume\":\"77 12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPACES.2015.7058301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Signal Processing and Communication Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPACES.2015.7058301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance evaluation of quasi regular deployment strategy in graph based wireless sensor networks
Quasi is a combining form meaning "resembling," "having some, but not all of the features of" any particular entity. We use quasi to emulate regularity in deployment of a sensor network. Most wireless networks focus on bandwidth assurances. We study the effect of network topology though effective deployment strategy to improve the energy consumption and delay metrics, essential for typical real time sensor network applications. This paper analyzes the performance of quasi random strategy against deterministic, random based methods under a given set of protocols and network parameters. We justify that the quasi random method improves the energy conservation and reduces the end to end delay of the networks considered.