Min Meng, Xiaoling Wu, Byeong-Soo Jeong, Sungyoung Lee, Youngku Lee
{"title":"Energy Efficient Routing in Multiple Sink Sensor Networks","authors":"Min Meng, Xiaoling Wu, Byeong-Soo Jeong, Sungyoung Lee, Youngku Lee","doi":"10.1109/ICCSA.2007.14","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks have been widely used in many fields with the developments of the related techniques. But there are many problems in traditional single sink sensor networks. The energy of the sensors near the sink or on the critical paths consumes too fast causing unbalanced energy consumption. The routing algorithms mainly focus on the nearest path or minimum hops. The invalidation of the single sink node causes the breakdown of the whole sensor network. In this paper, through the analysis of the disadvantages of single-sink sensor networks, we propose the system architecture of multi-sink sensor networks and new routing algorithms ELBR (Energy Level Based Routing) and PBR (Primary Based Routing) in multi-sink sensor networks. Experiment results show ELBR and PBR have better performances than traditional methods and balance the energy consumption in sensor networks.","PeriodicalId":386960,"journal":{"name":"2007 International Conference on Computational Science and its Applications (ICCSA 2007)","volume":"94 12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computational Science and its Applications (ICCSA 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSA.2007.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Wireless sensor networks have been widely used in many fields with the developments of the related techniques. But there are many problems in traditional single sink sensor networks. The energy of the sensors near the sink or on the critical paths consumes too fast causing unbalanced energy consumption. The routing algorithms mainly focus on the nearest path or minimum hops. The invalidation of the single sink node causes the breakdown of the whole sensor network. In this paper, through the analysis of the disadvantages of single-sink sensor networks, we propose the system architecture of multi-sink sensor networks and new routing algorithms ELBR (Energy Level Based Routing) and PBR (Primary Based Routing) in multi-sink sensor networks. Experiment results show ELBR and PBR have better performances than traditional methods and balance the energy consumption in sensor networks.
随着无线传感器网络技术的发展,无线传感器网络在许多领域得到了广泛的应用。但是传统的单sink传感器网络存在很多问题。靠近汇聚点或关键路径的传感器能量消耗过快,导致能量消耗不平衡。路由算法主要关注最近路径或最小跳数。单个汇聚节点的失效将导致整个传感器网络的崩溃。本文通过分析单汇传感器网络的缺点,提出了多汇传感器网络的系统架构,以及多汇传感器网络中新的路由算法ELBR (Energy Level Based routing)和PBR (Primary Based routing)。实验结果表明,与传统方法相比,ELBR和PBR具有更好的性能,能够平衡传感器网络中的能量消耗。