Abstract
Abstract Wireless sensor networks (WSNs) are consisted of tens, hundreds or even thousands of self-directed sensors which are embedded in an environment wirelessly at a distance from each other to communicate with each other, and their task is discovering and aggregation of environmental information and transmitting it to a monitoring center. Continuous movement of sensor nodes and their limited battery power causes routing problems for these types of networks. Thus, providing a reliable and secure protocol in wireless sensor networks seems crucial. Our main emphasis in this paper is on utilizing artificial intelligence techniques such as clustering and Particle Swarm Optimization (PSO) algorithm for finding a safe and efficient routing in wireless sensor networks.
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