{"title":"一种新的无线传感器网络节能负载均衡方法","authors":"Md. Nurul Islam Khan, Md. Saiful Islam","doi":"10.1109/ICREST.2019.8644507","DOIUrl":null,"url":null,"abstract":"Lots of real-time applications of wireless sensor network requires maximization of network lifetime. Many clustering approaches have been proposed but they suffer from uneven clusters which eventually make the network load unbalanced. In this work, we have suggested a two-stage energy proficient balanced clustering method which will balance the network load. We considered the parameters residual energy, intra-cluster cost, inter cluster cost, communication distance. We compared our proposed protocol with a recent clustering protocol CH-leach. Simulation results show that the proposed algorithm achieves better load balance, increase the network lifetime with energy balance clusters and lower node death rate.","PeriodicalId":108842,"journal":{"name":"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A New Approach of Energy Efficient Load Balancing for Wireless Sensor Networks\",\"authors\":\"Md. Nurul Islam Khan, Md. Saiful Islam\",\"doi\":\"10.1109/ICREST.2019.8644507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lots of real-time applications of wireless sensor network requires maximization of network lifetime. Many clustering approaches have been proposed but they suffer from uneven clusters which eventually make the network load unbalanced. In this work, we have suggested a two-stage energy proficient balanced clustering method which will balance the network load. We considered the parameters residual energy, intra-cluster cost, inter cluster cost, communication distance. We compared our proposed protocol with a recent clustering protocol CH-leach. Simulation results show that the proposed algorithm achieves better load balance, increase the network lifetime with energy balance clusters and lower node death rate.\",\"PeriodicalId\":108842,\"journal\":{\"name\":\"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICREST.2019.8644507\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICREST.2019.8644507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Approach of Energy Efficient Load Balancing for Wireless Sensor Networks
Lots of real-time applications of wireless sensor network requires maximization of network lifetime. Many clustering approaches have been proposed but they suffer from uneven clusters which eventually make the network load unbalanced. In this work, we have suggested a two-stage energy proficient balanced clustering method which will balance the network load. We considered the parameters residual energy, intra-cluster cost, inter cluster cost, communication distance. We compared our proposed protocol with a recent clustering protocol CH-leach. Simulation results show that the proposed algorithm achieves better load balance, increase the network lifetime with energy balance clusters and lower node death rate.