Cluster-based energy-aware routing scheme CBEARS for wireless sensor network

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Sensor Networks Pub Date : 2016-01-01 DOI:10.1504/IJSNET.2016.079176
A. Das, R. Chaki, K. Dey
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引用次数: 2

Abstract

The use of sensors to sense a multitude of events forms the basis of the all-pervasive computing concepts of today. The challenge lies in transferring the information sensed over the wireless links with limited bandwidth. The sensors are normally deployed close to each other and hence end up sensing the same event and sending the information. This gives rise to considerable redundancy and energy wastage of individual nodes. Clusterisation is the common technique for reducing the load of the nodes in order to increase the overall lifetime of the network. The selection of cluster head is very important in this regard. This paper uses a multitude of different parameters such as residual energy, distance from sink node, number of neighbour nodes etc., for selecting a cluster head. A multi-level energy-aware routing framework has been proposed here. The simulation result shows that the proposed algorithm increases network lifetime more than the other existing routing protocols.
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基于簇的无线传感器网络能量感知路由方案CBEARS
使用传感器来感知大量事件构成了当今普适计算概念的基础。挑战在于如何在有限带宽的无线链路上传输感知到的信息。传感器通常部署在彼此靠近的位置,因此最终会感应到相同的事件并发送信息。这将导致大量冗余和单个节点的能量浪费。集群化是减少节点负载以增加网络整体生命周期的常用技术。簇头的选择在这方面是非常重要的。本文利用剩余能量、与汇聚节点的距离、邻居节点的数量等多种参数来选择簇头。本文提出了一种多级能量感知路由框架。仿真结果表明,该算法比现有的路由协议更能提高网络的生存期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Sensor Networks
International Journal of Sensor Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
2.40
自引率
27.30%
发文量
86
期刊介绍: IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. Topics covered include: -Energy efficiency, energy efficient protocols- Applications- Location techniques, routing, medium access control- Coverage, connectivity, longevity, scheduling, synchronisation- Network resource management, network protocols, lightweight protocols- Fault tolerance/diagnostics- Foundations- Data storage, query processing, system architectures, operating systems- In-network processing and aggregation- Learning of models from data- Mobility- Performance analysis- Sensor tasking and control- Security, privacy, data integrity- Modelling of systems/physical environments, simulation tools/environments.
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