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|Title||Intelligent and Distributed Localization of Nodes in Wireless Sensor Networks|
In wireless sensor networks, the issue of wireless nodes localization has taken a wide area of research. Most applications need to know position of sensor nodes for reasons of optimal and fast data routing. In this research, a new distributed localization algorithm based on Self Organizing Maps (SOMs) is proposed to determine the location of a wireless node in a wireless sensor network. The proposed algorithm is classified as a range-free algorithm which uses only the connectivity information between nodes without the need to measure the time of arrival or signal strength as the range-based algorithms require. It utilizes the neighborhood information and the well-known anchors' positions to calculate the estimated locations of nodes. Our algorithm is made up of two main stages: the initialization stage, in which the initial estimated locations of nodes are calculated to be fed to the SOMs, and the learning stage, in which SOMs are used to calculate the physical locations of sensor nodes. By using the neighborhood information at the first stage, the algorithm has reduced the SOM learning time and the number of iterations to the convergence significantly. On the other hand, starting with real beneficial data rather than random data maximized the accuracy of the resulted locations. Furthermore, the distributed implementation of the algorithm highly alleviated the pressure on the wireless nodes, which are characterized with low power and limited capabilities. The proposed algorithm has been implemented using MATLAB software and experimented by deploying different number of nodes in a specific area with different communication radio ranges. Extensive simulations evidently verified the performance of the algorithm and achieved a very good accuracy. Moreover, the algorithm proved its effectiveness with the low average error and number of iterations needed in comparison with other recent related algorithms.
|Publisher||the islamic university|
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