Data Fusion in Wireless Sensor Networks

Abstract

Wireless sensor networks (WSNs) are resource-constrained networks, especially when the energy is highly constrained; the application of WSNs is severely restricted. Data fusion can effectively reduce the volume of data transmission in the network, reduce the energy consumption to extend network lifetime and improve bandwidth utilization, as a result, it can overcome the restriction of energy and bandwidth. This paper gives a survey on classical data fusion in wireless sensor networks from the following aspects: constructing an aggregation tree and data correlation processing, etc. And finally the direction of further study on data fusion is also pointed out.