Localization Technique Considering Position Uncertainty of Reference Nodes in Wireless Sensor Networks

Abstract

This paper proposes a distributed localization algorithm in wireless sensor networks. The algorithm considers the position uncertainty of reference nodes, which have been ignored in the past research, in which imperfect position information of reference nodes intensifies the error accumulation phenomenon. The algorithm calculates position uncertainty by the dilution of precision and presents a balance point between range errors and position errors by applying the modified spring mass method. We verify the feasibility of the proposed algorithm by changing multiple parameters under various circumstances. The result proves that the overall performance of localization is enhanced by considering the position uncertainty.