【作者】 殷新春； 徐力杰；

【Author】 YIN Xin-chun, XU Li-jie (Department of Computer Science and Engineering, Yangzhou University, Yangzhou 225009, China)

【机构】 扬州大学计算机科学与工程系；

【摘要】 基于无线传感器网络中监测数据具有较高时空相关性的应用场景。提出了一种基于数据融合的局部能量高效汇聚分簇协议LEEAC,该协议通过反映局部空间相关性的数据相异度对节点剩余能量进行约束,并使用约束后的预测能量作为竞选簇头的主要依据,被选举的簇头在传感器网络中具有良好的分布性。同时通过引入数据鉴定码,减少了簇内数据传输阶段的通信量以及簇头数据融合的工作量,从而大大节约了能量消耗。实验结果表明,LEEAC协议能够有效均衡网络能量消耗,延长网络生存时间。更多还原

【Abstract】 In wireless sensor network, monitoring data possesses fairly good similarity of nodes’ readings. According to this applying background, we propose Local Energy-Efficient and Aggregation Clustering (LEEAC) protocol in this paper which is based on data aggregation. Through the data dissimilarity degree, the LEEAC restricts the residual energy of nodes and employs the predict energy restricted as the main criterion for electing cluster heads. The cluster heads which have been elected distribute well in sensor network. Besides, by bringing in data critical code, the LEEAC reduces the communication content during data transformation within the cluster and the load on data aggregation of the cluster head. In this way, the energy consumption has been greatly saved. The result of our experiment proves that the LEEAC can effectively balance energy consumption and prolong the network lifetime.更多还原