A cellular learning automata-based deployment strategy for mobile wireless sensor networks

: One important problem which may arise in designing a deployment strategy for a wireless sensor network is how to deploy a specific number of sensor nodes throughout an unknown network area so that the covered section of the area is maximized. In a mobile sensor network, this problem can be addressed by first deploying sensor nodes randomly in some initial positions within the area of the network, and then letting sensor nodes to move around and find their best positions according to the positions of their neighboring nodes. The problem becomes more complicated if sensor nodes have no information about their positions or even their relative distances to each other. In this paper, we propose a cellular learning automata-based deployment strategy which guides the movements of sensor nodes within the area of the network without any sensor to know its position or its relative distance to other sensors. In the proposed algorithm, the learning automaton in each node in cooperation with the ...

• Type: Journal
• Year: 2011
• Where: JPDC
• Authors: Mehdi Esnaashari, Mohammad Reza Meybodi
• Keywords: Deployment Strategy, JPDC 2011, Localization Algorithms, Wireless Sensor Network