Ant colony trust based secure detection in wireless sensor networks

Abstract: Mobile wireless sensor networks (MWSNs) can simply be defined as a wireless sensor network (WSN) in which the sensor nodes are mobile. Most of the existing wireless sensor consumes more memory cost. The existing systems at most used on cryptography to improve packet security but this addresses only a part of the security problem without consideration for high energy key cost. The proposed algorithm to improve the routing security and monitoring activities of each node neighbors using status and trust worthy improves the security of WSNs and maximizes the lifetime for routing. The proposed algorithm using ant colony based best path choosing with secure packet routing. The bio inspired algorithm using ant colony system (ACS), where ants build paths satisfying positive conditions in a network graph. The simulation results show that the proposed model remains resilient to low or high percentages of pernicious service when the percentage of client node are greater than or equal 60%. Finally the simulation result performs well compare with existing one.

Keywords: Wireless sensor network, Ant colony optimization, Pheromone updating.