Distributed Node Localization Algorithm For Wireless Sensor Networks Research

WSN(Wireless Sensor Network), which is made by the convergence of sensor, embedded computation, networks and wireless communication technologies, is a novel technology about acquiring and processing information. WSN have the ability to collaboratively monitoring, sensing, collecting and processing information of the physical world through ad-hoc deployment of numerous tiny, intelligent, wirelessly networked sensor nodes. Potential applications of such sensor networks span many domains: military surveillance;environmental monitoring (air, water, soil, chemistry);smart spaces;physiological monitoring;precision agriculture;transportation;factory instrumentation.Node localization provided the foundation for many application of WSN. In this paper, we first discussed several have been proposed distributed localization algorithms and quantitatively analyzed the performance. Secondly, a new distributed localization algorithms being proposed. Our approach improved the localization performance from two aspect: first, to restrain error accumulation during iterated localization process, we applying WLSE (Weighted Least Square Estimates) to node localization algorithm and choose proper weight coefficient to reduce location error;second, to improve localization coverage rate, we established a coordinate compute model based on two anchor and a connection constrain condition and integrated it with trilateration /multilateration and Euclidean algorithm.After that, we implemented DV-hop localization algorithm on our test-beds and evaluate and demonstrate the effectiveness of the localization system. Finally, we sum up this paper and the directions of research in this area are introduced.