Distributed online localization in sensor networks using a moving target
Proceedings of the 3rd international symposium on Information processing in sensor networks
Static Path Planning for Mobile Beacons to Localize Sensor Networks
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Path planning of mobile landmarks for localization in wireless sensor networks
Computer Communications
A Mobile Beacon Based Approach for Sensor Network Localization
WIMOB '07 Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Distributed Localization Using a Moving Beacon in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
MSN '09 Proceedings of the 2009 Fifth International Conference on Mobile Ad-hoc and Sensor Networks
Using mobile beacons to locate sensors in obstructed environments
Journal of Parallel and Distributed Computing
Localization with a mobile beacon based on geometric constraints in wireless sensor networks
IEEE Transactions on Wireless Communications
Computers and Electrical Engineering
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Localization is one of key technologies of wireless sensor networks, and the mobile beacon assisted localization method is promising. For the three-dimensional sensor networks, this paper proposes a four-mobile-beacon assisted weighted centroid localization method. The four beacons form a regular tetrahedron while traversing the region and broadcast packets including their positions simultaneously. The ordinary sensor nodes estimate their locations using weighted centroid method. It also presents Layered-Scan trajectory of mobile beacons which consists of several parallel layers of Scan. This method can localize all the sensor nodes with appropriate parameters. Two sets of simulations are performed using Matlab to compare this method with other methods and evaluate tradeoffs between localization performance and different parameters. Simulation results show that the proposed method outperforms weighted centroid and multilateration methods using single mobile beacon.