带非均匀节点分布无线传感器网络的高效节能数据存储

现有大部分无线传感器网络的分布式数据存储方法都依赖于传感器节点定位系统,这会导致节点消耗大量的能量,而且这些方法主要是针对均匀分布的无线传感器网络的,并不适用于非均匀节点分布的传感网络。为了解决这个问题,提出一种非均匀节点分布传感网络的大数据路由存储算法,其目的在于减少传感器节点的实际分布和地址。为了进一步节省数据存储空间和能量消耗,将布隆过滤器(Bloom filter)集成到节点上,从而进一步减少数据丢失和网络能量消耗。文中算法提供了高效的搜索服务,使数据在网络内的存储分布和路由能量消耗更加均匀,进而提高了网络的生存时间。文中算法在容错情况下通过减少冗余数据来提供高效节能的存储,并进一步减少数据的路由开销和存储空间的浪费。

Energy-efficient data storage for wireless sensor networks with nonuniform distribution

Most of the existing distributed data storage methods in wireless sensor networks (WSNs) rely on locating system of sensor nodes, which will lead to much energy consumption, and in particular, these methods are for the WSNs with uniform sensor distribution, and are clearly not applicable for the WSNs with nonuniform sensor distribution. To address this problem, this paper proposes a data storing algorithm based on the non-uniform node distribution, which aims at estimating the real distribution and the addresses of sensor nodes. To further save storage space and energy consumption, we integrate the Bloom filter with sensor nodes. The proposed algorithm offers an efficient search service so as to make data storage distribution and routing energy consumption more even, which can prolong network lifetime. The proposed algorithm also reduces redundant data with toleration of a given error bound to provide energy-efficient storage and further decreases the overhead of data routing and the waste of storage space.