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Wireless sensor networks (WSNs) consist of small nodes with sensing, computation, and wireless communication capabilities. A number of routing algorithms based on learning automata technique have been proposed for communication networks. However, there has been little work on the effects of cellular learning automata on the performance of these algorithms. One approach to prolong lifetime of sensor...
Wireless sensor networks (WSN) consists of tiny autonomous devices called sensors capable of sensing, processing and transmitting information. Energy consumption, routing and maximizing lifetime are the important challenges in the sensor network. In this paper, we propose multiple tree construction (MTC) algorithm to address the problem of finding path from each node to its nearest base stations to...
This paper presents a design of routing algorithm for mobile agent in the wireless sensor networks which is called MA-SWR. It introduces a weight metric and each node derives its weight value dynamically from its current position. In MA-SWR, by comparing the weights values, mobile agents can determine their own routs. MA-SWR can be applied when topological information changes such as in a network...
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