Title :
Distributed Algorithm for Maximal Rigid Region in Sparse Wireless Sensor Networks
Author :
Kanchi, Saroja ; Wu, Changhua
Author_Institution :
Dept. of Comput. Sci., Kettering Univ., Flint, MI, USA
Abstract :
The network localization problem is closely related to the rigidity of graph. A network can only be localized if the graph of the network is rigid. The rigidity theory for graph states that for a 2D graph to have unique realization, it must be redundantly rigid and tri-connected. Centralized and polynomial algorithms exist to check whether a graph is uniquely realizable. In this paper, we propose a distributed algorithm to find the maximal rigid region in a network. This algorithm does not require the existence of a central node. It starts from local rigid patches and the patches are merged in a distributed manner in the network. In the end, a maximal rigid region can be found. It is proved that the algorithm will converge and all nodes in the network will get a list of maximal rigid regions it belongs to when the algorithm terminates.
Keywords :
distributed algorithms; graph theory; wireless sensor networks; 2D graph; distributed algorithm; graph rigidity theory; maximal rigid region; network localization problem; polynomial algorithms; sparse wireless sensor networks; Distributed algorithms; Games; Jacobian matrices; Radiation detectors; Wheels; Wireless sensor networks; localization; rigidity; sensor networks; trilateration;
Conference_Titel :
Services Computing Conference (APSCC), 2010 IEEE Asia-Pacific
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-9396-8
DOI :
10.1109/APSCC.2010.81