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针对在无线传感器网络中信息存储和检索效率容易受到节点负载不均匀和距离不敏感限制的问题,引入网络散度概念,并在此基础上提取网络的骨架;利用骨架能够代表拓扑几何的特性,提出一种负载均衡、距离感知的信息存储和检索算法.该算法不要求节点的地理信息,也不受网络形状的限制,一次数据检索可以沿着简单的路径成功检索到所感兴趣的数据.仿真表明:该算法检索路径较短且取得更佳的负载均衡,从而有效地减少了网络能耗,延长网络生命周期.
Aiming at the problem that the efficiency of information storage and retrieval in wireless sensor networks is easily limited by the uneven load and distance insensitivity of nodes, the concept of network divergence is introduced and the skeleton of the network is extracted. Based on the characteristics of topological geometry, This paper proposes a load balancing and distance sensing information storage and retrieval algorithm which does not require the node’s geographical information nor the shape of the network.A data retrieval can successfully retrieve the data of interest along a simple path. The result shows that the proposed algorithm has a short search path and better load balancing, which can effectively reduce the network energy consumption and extend the network life cycle.