EADEEG:能量感知的无线传感器网络数据收集协议
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Supported by the National Natural Science Foundation of China under Grant No.60573132 (国家自然科学基金); the National Grand Fundamental Research 973 Program of China under Grant No.2006CB303000 (国家重点基础研究发展规划(973)); the Hong Kong Polytechnic University under Grant No.A-PF77(香港理工大学)


EADEEG: An Energy-Aware Data Gathering Protocol for Wireless Sensor Networks
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    摘要:

    提出了一种基于簇结构的无线传感器网络数据收集协议EADEEG(an energy-aware data gathering protocol for wireless sensor networks).EADEEG通过最小化网络通信开销以及良好的能量负载平衡方法,可以有效地延长网络寿命.与以前的相关研究相比,EADEEG采用了一种全新的簇头竞争参数,能够更好地解决节点能量异构问题.此外,EADEEG也采用了一种简单而有效的簇内节点调度算法,通过控制活动节点的密度,可以在不增加额外控制开销的条件下关闭冗余节点并保证覆盖要求,因此可以进一步延长网络寿命.模拟实验证明,在节点初始能量同构和异构两种情况下,EADEEG协议都能够满足用户对覆盖率的要求,并在网络寿命上大幅度优于LEACH(low energy adaptive clustering hierarchy),PEGASIS(power-efficient gathering in sensor information systems)和DEEG(distributed energy-efficient data gathering and aggregation protocol)协议.

    Abstract:

    In this paper,a hierarchical clustering protocol for long-lived sensor network is proposed. EADEEG(an energy-aware data gathering protocol for wireless sensor networks) achieves a good performance in terms of lifetime by minimizing energy consumption for communications and balancing the energy load among all nodes. EADEEG adopts a new clustering parameter for cluster head election,which can better handle the hetergenous energy capacities. Furthermore,it also adopts a simple but efficient approach,namely intra-cluster coverage to cope with the fractional area coverage problem. Through turning off redundant nodes,while the remaining nodes stay active to provide continuous service,the network lifetime can be significantly prolonged. Experimental results have shown that EADEEG can satisfy the desired coverage fraction and outperform LEACH(low energy adaptive clustering hierarchy) ,PEGASIS(power-efficient gathering in sensor information systems) and DEEG(distributed energy-efficient data gathering and aggregation protocol) in terms of network lifetime.

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刘明,曹建农,陈贵海,陈力军,王晓敏,龚海刚. EADEEG:能量感知的无线传感器网络数据收集协议.软件学报,2007,18(5):1092-1109

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  • 收稿日期:2006-12-31
  • 最后修改日期:2006-12-31
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