Abstract:

In order to overcome the low accuracy and coverage rate of localization algorithm based on distance in wireless sensor networks, a Local Cooperative Localization Algorithm (LCLA) was proposed. The algorithm judged anchor nodes by calculating their local path loss indexes and determined those influenced by communication environment or obstacles to be invalid. At the same time, the idea of cooperative localization was introduced and the nodes that met certain requirements of localization error would be upgraded to anchor nodes to take part in localization of other nodes and improved coverage rate of localization. When nodes received multiple signals from anchor nodes, they first selected the initial valid anchor nodes to calculate their positions in priority. If the number of the initial valid anchor nodes was not sufficient, nodes would then select from the upgraded ones to reduce the cumulative error and improve localization accuracy. The simulation results indicate that LCLA performs better in localization accuracy and coverage rate compared with the algorithm of improved Received Signal Strength Indicator (RSSI) localization, MDS-MAP (MultiDimensional Scaling MAP) and cooperating localization.