期刊文献+

基于能量预算的无线传感器网络生命周期分析

ANALYSIS OF LIFETIME OF WIRELESS SENSOR NETWORKS BASED ON ENERGY BUDGET
下载PDF
导出
摘要 由于传感器节点无线发射能力有限,节点监测到的数据以多跳、转发的方式传输给网关节点Sink,靠近网关的节点相对于其他外围节点会转发更多的数据和信息,这将会消耗更多的能量,从而导致它们的电量提前耗尽使整个网络生命终结,即产生“能量空洞”现象.为避免这种不期望的结果发生,基于节点数据流量负载,我们尝试采用多电池级别的供应策略重新调整网络节点的能量分配,从而最大化网络的生命周期.通过理论分析和模拟仿真,来验证这种方案的有效性. Due to the limited transmission range, data sensed by each sensor has to be forwarded in a multi - hop fashion before being delivered to the sink. The sensors closer to the sink have to forward comparatively more messages than sensors at the periphery of the network, and will deplete their batteries earlier, which makes the wireless networks expire. This is called the "energy hole" problem. To alleviate this undesired effect and maximize the useful lifetime of the network, we investigate the energy consumption of different tiers and the effect of multiple battery levels, and demonstrate an attractively simple scheme to redistribute the total energy budget in multiple battery levels by data traffic load. We show by theoretical analysis, as well as simulation, that this substantially improves the network lifetime.
出处 《山东师范大学学报(自然科学版)》 CAS 2015年第4期38-42,49,共6页 Journal of Shandong Normal University(Natural Science)
关键词 无线传感器网络 生存周期 多电池级别 能量空洞 wireless sensor networks lifetime multiple battery levels energy hole
  • 相关文献

参考文献10

  • 1Song Chao,Liu Ming, Cao Jiannong, et al. Maximizing network lifetime based on transmission range adjustment in wireless sensor networks[ J]. Computer Communications, 2009, 32 ( 11 ) : 1316 - 1325.
  • 2Reddy R K, De S, Gupta H M. Joint control of transmit power and frame size for energy - optimized data transfer in wireless Sensor Networks [ J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2010, E93B (8) : 2043 - 2052.
  • 3Ye W, Heidemann J, Estrin D. Medium access control with coordinated adaptive sleeping for wireless sensor networks [ J ]. IEEE/ACM Transactions on Networking, 2004, 12:493 - 506.
  • 4Ning X, Cassandras C G. Dynamic sleep time control in wireless sensor networks [ J]. ACM TRANSACTIONS ON SENSOR NETWORKS,2010, 6(3) :21 -58.
  • 5Sun Lijuan, Yang Guannan, Guo Jian, et al. A muting protocol based on ant colony algorithm for wireless Sensor Networks [ J]. CHINESE JOURNAL OF ELECTRONICS, 2010, 19 (4) : 589 - 593.
  • 6Ok C S, Lee S, Mitra P, et al. Distributed energy balanced muting for wireless sensor networks [ J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 27( 1 ) : 125 - 135.
  • 7梁英,于海斌,曾鹏.应用PSO优化基于分簇的无线传感器网络路由协议[J].控制与决策,2006,21(4):453-456. 被引量:25
  • 8Duarte - Melo E J, Liu Mingyan. Analysis of Energy consumption and lifetime of heterogeneous wireless sensor networks [ J ]. In Proc. of the IEEE GLOBECOM 02, 2002:21 -25.
  • 9Kawadia V, Kumar P R. Principles and protocols for power control in wireless ad hoc network [ J ]. IEEE Journal on Selected a Rear in Communications, 2005, 23 ( 1 ) :76 - 88.
  • 10Potrie G J, Kaiser W J. Wireless integrated network sensors [ J]. Communications After ACM, 2000,43 (5) :51 -58.

二级参考文献9

  • 1Akyildiz I,Su W,Sankarasubramaniam Y,et al.Wireless Sensor Networks:A Survey[J].Computer Networks,2002,38 (4):393-422.
  • 2Heinzelman W,Chandrakasan A,Balakrishnan H.Energy-efficient Communication Protocol for Wireless Sensor Networks[A].IEEE Proc of the Hawaii Int Conf System Sciences[C].Washington:IEEE Computer Society,2000:175-187.
  • 3ManjeshwaR A,Agrawal D.Teen:A Protocol for Enhanced Efficiency in Wireless Sensor Networks[A].Proc of the 1st Int Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing[C].New York:ACM Press,2001:304-309.
  • 4Lindsey S,Raghavendra C.PEGASIS:Power Efficient GAthering in Sensor Information Systems[A].Proc of the IEEE Aerospace Conf[C].Piscataway:IEEE Press,2002:1-6.
  • 5Younis O,Fahmy S.HEED:A Hybrid,Energyefficient,Distributed Clustering Approach for Ad Hoc Sensor Networks[J].IEEE Trans on Mobile Computing,2004,3 (4):366-379.
  • 6Eberhart R C,Shi Y.Comparing Inertia Weights and Constriction Factors in Particle Swarm Optimization[A].Proc Congress Evolutionary Computation[C].Piscataway:IEEE Press,2000:84-88.
  • 7Eberhart R C,Shi Y.Particle Swarm Optimization:Developments,Applications and Resources[A].Proc Congress on Evolutionary Computation[C].Piscataway:IEEE Press,2001:81-86.
  • 8Kennedy J,Eberhar R C.Particle Sworm Optimization[A].Proc of the IEEE Int Conf on Neural Networks[C].Piscataway:IEEE Service Center,1995:1942-1948.
  • 9Salman A,Ahmad I.Particle Swarm Optimization for Task Assignment Problem[J].Microprocessors and Microsystems,2002,26 (8):363-371.

共引文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部