Abstract: Adhoc Sensor Networks consists of autonomous sensor nodes used for monitoring any environment. Issues that are faced in Adhoc Sensor Networks face are communication link failures, memory and computational constraints, and limited energy. To solve these constraints biological optimization techniques are used. A simple, effective, and computationally efficient optimization algorithm like Particle Swarm Optimization can be implemented to solve certain issues of Adhoc Sensor Networks. PSO can give solutions to optimal deployment, node localization, clustering, and data aggregation of the sensor nodes. We have presented a brief survey on how PSO can solve certain problems very efficiently. The multi-hop feature of an ad hoc network suggests the use of clustering to simplify routing and management. This paper presents a optimized solution to find the cluster head position for efficient communication of a True Positive alarm in monitoring applications.
Keywords: PSO, ACO, Sensor Networks, Optimization, Clusterhead.
Title: Particle Swarm Optimization for Ad-Hoc Sensor Networks
Author: Ms. Chaitali Shah, Ms. Sweta Dargad
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
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