{"title":"通过改变CH节点位置提高WSNs的节能水平","authors":"A. Khalifeh, Husam Abid, Khalid A. Darabkh","doi":"10.1109/FMEC49853.2020.9144975","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks (WSNs) consist of a large number of small size, limited energy nodes distributed over an Area of Interest (AoI), in order to perform sensing and monitoring operations. Due to their limited energy sources, it is of utmost importance to optimize the nodes' energy consumption thus prolonging the sensors' lifetime. In this paper, an optimization problem is formulated and solved to find the optimal location of the Cluster Head (CH) node with respect to the other nodes such that the communication path loss of the nodes with respect to the CH is minimized. Simulation results have shown that the proposed Cluster Head Positioning Optimization (CHPO) mechanism has proven its effectiveness when compared with the literature work, in reducing the nodes' energy consumption, thus increasing the network lifetime.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Improving Energy Conservation Level in WSNs by Modifying CH Node Location\",\"authors\":\"A. Khalifeh, Husam Abid, Khalid A. Darabkh\",\"doi\":\"10.1109/FMEC49853.2020.9144975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Sensor Networks (WSNs) consist of a large number of small size, limited energy nodes distributed over an Area of Interest (AoI), in order to perform sensing and monitoring operations. Due to their limited energy sources, it is of utmost importance to optimize the nodes' energy consumption thus prolonging the sensors' lifetime. In this paper, an optimization problem is formulated and solved to find the optimal location of the Cluster Head (CH) node with respect to the other nodes such that the communication path loss of the nodes with respect to the CH is minimized. Simulation results have shown that the proposed Cluster Head Positioning Optimization (CHPO) mechanism has proven its effectiveness when compared with the literature work, in reducing the nodes' energy consumption, thus increasing the network lifetime.\",\"PeriodicalId\":110283,\"journal\":{\"name\":\"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FMEC49853.2020.9144975\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMEC49853.2020.9144975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving Energy Conservation Level in WSNs by Modifying CH Node Location
Wireless Sensor Networks (WSNs) consist of a large number of small size, limited energy nodes distributed over an Area of Interest (AoI), in order to perform sensing and monitoring operations. Due to their limited energy sources, it is of utmost importance to optimize the nodes' energy consumption thus prolonging the sensors' lifetime. In this paper, an optimization problem is formulated and solved to find the optimal location of the Cluster Head (CH) node with respect to the other nodes such that the communication path loss of the nodes with respect to the CH is minimized. Simulation results have shown that the proposed Cluster Head Positioning Optimization (CHPO) mechanism has proven its effectiveness when compared with the literature work, in reducing the nodes' energy consumption, thus increasing the network lifetime.