{"title":"传输范围可调的多sink线性传感器网络的能量效率","authors":"Su Bing, Zhang Yujing","doi":"10.1109/ICCSN.2016.7587201","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks (WSNs) are applied to monitor linear systems. In these networks, multi-sinks energy harvesting modules are deployed, and battery-powered sensor nodes are deployed between the sinks. The main problem with these linear sensor networks is the unbalanced energy consumption of sensor nodes. In this paper, a novel transmission range adjustment method is proposed to solve this problem. At the clustering phase, we divide a long linear network into short linear networks, and the sinks are regarded as cluster heads. At the transmission phase, we adopt the Multidimensional Multiple-choice Knapsack Problem (MMKP) to resolve the route selection problem. The simulation results show the efficiency of the algorithm in balancing the energy consumption between the sensor nodes.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Energy efficiency in multi-sink linear sensor network with adjustable transmission range\",\"authors\":\"Su Bing, Zhang Yujing\",\"doi\":\"10.1109/ICCSN.2016.7587201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor networks (WSNs) are applied to monitor linear systems. In these networks, multi-sinks energy harvesting modules are deployed, and battery-powered sensor nodes are deployed between the sinks. The main problem with these linear sensor networks is the unbalanced energy consumption of sensor nodes. In this paper, a novel transmission range adjustment method is proposed to solve this problem. At the clustering phase, we divide a long linear network into short linear networks, and the sinks are regarded as cluster heads. At the transmission phase, we adopt the Multidimensional Multiple-choice Knapsack Problem (MMKP) to resolve the route selection problem. The simulation results show the efficiency of the algorithm in balancing the energy consumption between the sensor nodes.\",\"PeriodicalId\":158877,\"journal\":{\"name\":\"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)\",\"volume\":\"224 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2016.7587201\",\"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 8th IEEE International Conference on Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2016.7587201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy efficiency in multi-sink linear sensor network with adjustable transmission range
Wireless sensor networks (WSNs) are applied to monitor linear systems. In these networks, multi-sinks energy harvesting modules are deployed, and battery-powered sensor nodes are deployed between the sinks. The main problem with these linear sensor networks is the unbalanced energy consumption of sensor nodes. In this paper, a novel transmission range adjustment method is proposed to solve this problem. At the clustering phase, we divide a long linear network into short linear networks, and the sinks are regarded as cluster heads. At the transmission phase, we adopt the Multidimensional Multiple-choice Knapsack Problem (MMKP) to resolve the route selection problem. The simulation results show the efficiency of the algorithm in balancing the energy consumption between the sensor nodes.