无线传感器网络中安全高效的空间数据聚集算法

Secure and Energy-Efficient Spatial Data Aggregation Algorithm in Wireless Sensor Networks

提出了一种传感器网络中安全高效的空间数据聚集算法SESDA(secure and energy-efficient spatial data aggregation algorithm).SESDA基于路线方法实现数据聚集,由于算法沿着已设计好的路线执行聚集请求和数据聚集,使得SESDA不受网络拓扑结构的影响,适用于网络拓扑结构动态变化的传感器网络,且节省了网络拓扑结构的维护消耗.此外,针对过多加/解密操作对节点能量急剧消耗的特点,SESDA通过安全通道传输感知数据来保证数据的隐私性,避免了节点之间在数据传输过程中需要对感知数据进行加/解密操作,不仅可以节约节点大量的能量从而延长网络寿命,而且使得数据聚集具有很小的处理延迟,因而获得较高的聚集精确度.理论分析和实验结果显示,SESDA具有低通信量、低能耗、高安全性和高精确度的特点.

This paper proposes a secure and energy-efficient spatial data aggregation algorithm for sensor networks （SESDA for short）. SESDA is an itinerary-based algorithm to achieve data aggregation. Owing to the well-designed itinerary for aggregate request propagation and data aggregation, SESDA is not susceptible to network topology and thus suitable for sensor networks with transient network topology, hence improves energy efficiency. In addition, to counter dramatic energy consumption caused by heavy encryption/ decryption operations, SESDA uses secure channel to obtain data privacy. SESDA needs no encryption/decryption operations during data aggregation, which significantly reduces the energy consumption, prolongs the lifetime of sensor networks, and achieves high accuracy of aggregation results due to small delivery delay. Theoretical analysis and experimental results show that SESDA has low traffic and energy consumption, high safety and accuracy.