M. Rasid, A. Abdullah, N. Noordin, M. Vahabi, M. Ghazvini
{"title":"基于能量感知的无线传感器网络数据扩散协议","authors":"M. Rasid, A. Abdullah, N. Noordin, M. Vahabi, M. Ghazvini","doi":"10.1109/APCC.2007.4433518","DOIUrl":null,"url":null,"abstract":"Wireless sensor network (WSN) is made up of large numbers of sensor nodes. Each sensor node possesses the ability to monitor some aspect of its environment. Since data diffusion is vital in WSN, optimized protocols need to be used to guarantee an energy efficient operation of the network by extending the lifetime of individual sensors. To achieve this goal, the transmission range of sensors is first decomposes into certain ranges based on a minimal distance between consecutive forwarding sensors and then classifies these ranges due to Degree of Interest. The work also focuses on the selection of sensors as forwarders which lie on or closely to the shortest path between a source sensor and the sink to yield minimum energy consumption and delay. The energy-aware challenge is presented through the computation of lower and upper bounds on energy consumption and source-to-sink delay.","PeriodicalId":282306,"journal":{"name":"2007 Asia-Pacific Conference on Communications","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Energy-aware data diffusion protocol with reduced source-to-sink delay for wireless sensor network\",\"authors\":\"M. Rasid, A. Abdullah, N. Noordin, M. Vahabi, M. Ghazvini\",\"doi\":\"10.1109/APCC.2007.4433518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor network (WSN) is made up of large numbers of sensor nodes. Each sensor node possesses the ability to monitor some aspect of its environment. Since data diffusion is vital in WSN, optimized protocols need to be used to guarantee an energy efficient operation of the network by extending the lifetime of individual sensors. To achieve this goal, the transmission range of sensors is first decomposes into certain ranges based on a minimal distance between consecutive forwarding sensors and then classifies these ranges due to Degree of Interest. The work also focuses on the selection of sensors as forwarders which lie on or closely to the shortest path between a source sensor and the sink to yield minimum energy consumption and delay. The energy-aware challenge is presented through the computation of lower and upper bounds on energy consumption and source-to-sink delay.\",\"PeriodicalId\":282306,\"journal\":{\"name\":\"2007 Asia-Pacific Conference on Communications\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Asia-Pacific Conference on Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCC.2007.4433518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Asia-Pacific Conference on Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2007.4433518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-aware data diffusion protocol with reduced source-to-sink delay for wireless sensor network
Wireless sensor network (WSN) is made up of large numbers of sensor nodes. Each sensor node possesses the ability to monitor some aspect of its environment. Since data diffusion is vital in WSN, optimized protocols need to be used to guarantee an energy efficient operation of the network by extending the lifetime of individual sensors. To achieve this goal, the transmission range of sensors is first decomposes into certain ranges based on a minimal distance between consecutive forwarding sensors and then classifies these ranges due to Degree of Interest. The work also focuses on the selection of sensors as forwarders which lie on or closely to the shortest path between a source sensor and the sink to yield minimum energy consumption and delay. The energy-aware challenge is presented through the computation of lower and upper bounds on energy consumption and source-to-sink delay.