A New Approach for Error Reduction in Localization for Wireless Sensor Networks

Localization is one of the most challenging and important issues in wireless sensor networks (WSNs), especially if cost effective approaches are demanded. Distance measurement based on RSSI (Received Signal Strength Indication) is a low cost and low complexity of the distance measurement technique, and it is widely applied in the rangebased localization of the WSN. The RSS (Received Signal Strength) used to estimate the distance between an unknown node and a number of reference nodes with known co-ordinates. Location of the target node is then determined by trilateration. Log-normal shadowing model, can better describe the relationship between the RSSI value and distance. Non-line of sight and multipath transmission effects as the indoor environment, the distance error or ranging error is large. In this paper, experimental results that are carried out to analyze the sensitivity of RSSI measurements in an indoor environment for various power levels are presented. Location error influenced by distance measure error and network connectivity is analyzed.

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