Improved RSSI Location Algorithm Based on Distance Between Beacon Nodes

Aiming at the problem of low accuracy of traditional RSSI average algorithm used in Wireless sensor network indoor positioning,this paper proposes an improved RSSI algorithm.The algorithm uses the RSSI average to estimate each measured RSSI value and eliminate the volatile and serious distortion date,so the retained RSSI value can be better corresponded with the distance relationship.Also,according to the characteristics of large differences in environmental parameters of indoor nodes in different locations,the fixed distance between the beacon nodes and the measured corresponding RSSI value were introduced into the signal transmission model,thus the influences of environmental factors on distance estimate can be eliminated.Simulation results show that the improved RSSI algorithm,comparing with the traditional average distance estimation algorithm can reduce distance estimation error significantly and meet the requirements of Indoor positioning accuracy.