DF-AMS: Proposed Solutions for Multi-Sensor Data Fusion in Wireless Sensor Networks

When using multiple sensor nodes in wireless sensor networks (WSNs) for monitoring (measuring) parameters of the target and sending the result to the base station (BS), data redundancy is an inevitable problem. The measured data often contains the same information, and sending redundant data to BS causes the waste of energy of sensor nodes and the risk of congestion. Multi-sensor data fusion in WSNs is a technology of gathering and processing data applied from node to BS. It improves the performance of surveillance systems by allowing the obtained sensed information from multiple sensor nodes aggregated to one unified format data packet to send to BS to make decision. In this paper, we propose a solution namely DF-AMS (Data Fusion - Average Median Sampling) for sampling and fusing data from the sensor nodes in the cluster to optimize the energy conservation of sensor nodes in clusters and cluster head node.