{"title":"Maximizing the wireless sensor networks lifetime","authors":"Nouredine Seddiki, Amel Douli","doi":"10.1109/ICITST.2016.7856719","DOIUrl":null,"url":null,"abstract":"The technological developments in microelectronics have enabled the integration of capacity for the achievement of several important tasks for monitoring the environment using very small components named sensors with low cost and low power consumption. A sensor node detects environmental phenomena to obtain data and transmits them to the sink via a single hop or multi-hop path in wireless sensor network applications. For monitoring applications, a topology of tree or forest is often used to collect data of global detection. The tree or forest is built after the initial deploying of nodes and are rebuilt on important topology changes. As the sensor node has limited energy, building a good tree to prolong the lifetime of the network is an important problem. In this paper we propose an approach for optimizing the lifetime of sensors network. First, we divide our network into disjoint sets, where each set represents a tree (tree construction). Then, we optimize the lifetime of network by using an efficient algorithm for balancing weight between trees in the network.","PeriodicalId":258740,"journal":{"name":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITST.2016.7856719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The technological developments in microelectronics have enabled the integration of capacity for the achievement of several important tasks for monitoring the environment using very small components named sensors with low cost and low power consumption. A sensor node detects environmental phenomena to obtain data and transmits them to the sink via a single hop or multi-hop path in wireless sensor network applications. For monitoring applications, a topology of tree or forest is often used to collect data of global detection. The tree or forest is built after the initial deploying of nodes and are rebuilt on important topology changes. As the sensor node has limited energy, building a good tree to prolong the lifetime of the network is an important problem. In this paper we propose an approach for optimizing the lifetime of sensors network. First, we divide our network into disjoint sets, where each set represents a tree (tree construction). Then, we optimize the lifetime of network by using an efficient algorithm for balancing weight between trees in the network.