Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks
AbstractThis paper presents an adaptive combined-metrics-based clustering scheme for mobile wireless sensor networks, which manages the mobile sensors by utilizing the hierarchical network structure and allocates network resources efficiently. A local criteria is used to help mobile sensors form a new cluster or join a current cluster. The messages transmitted during hierarchical clustering are applied to choose distributed gateways such that communication for adjacent clusters and distributed topology control can be achieved. In order to balance the load among clusters and govern the topology change, a cluster reformation scheme using localized criterions is implemented. The proposed scheme is simulated and analyzed to abstract the network behaviors in a number of settings. The experimental results show that the proposed algorithm provides efficient network topology management and achieves high scalability in mobile sensor networks.
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Wen, C.-Y.; Tang, H.-K. Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks. Sensors 2009, 9, 8961-8995.
Wen C-Y, Tang H-K. Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks. Sensors. 2009; 9(11):8961-8995.Chicago/Turabian Style
Wen, Chih-Yu; Tang, Hung-Kai. 2009. "Autonomous Distributed Self-Organization for Mobile Wireless Sensor Networks." Sensors 9, no. 11: 8961-8995.