【摘要】 由大量微小传感器节点组成的无线传感器网络主要用于从目标对象收集信息,但由于节点资源受限,给无线传感器网络的信息处理带来了严峻挑战,为此,必须采取简单、高效的处理策略。本文综述了无线传感器网路环境下智能信息处理的最新研究进展,包括网内聚合、数据压缩和分布式存储和查询等方法,对各种算法的优缺点进行评述,并指出了其关键问题。更多还原

【Abstract】 The Wiressless Sensor Network (WSN), which consists of a large number of micro sensor nodes, is mainly used to gather data information from the monitored environments. However, the strict constraints on individual sensor node’s resource bring great challenges to the information processing of WSN. Consequently, simple and efficient algorithms must be taken. This paper gives an overview of the intelligent information processing approaches of WSN, which includes in-network aggregation, data compression, distributed database storage and query and so on. The principles and advantages/disadvantages of each approach are pointed out,and the key problems to be studied are pointed out here too.更多还原