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ACO based key management routing mechanism for WSN security and data collection

This research presents an improved key management technique (KMT) with an ant colony optimization (ACO) for the path planning of the wireless sensor network nodes. The purpose of the improved KMT with ACO is to design an appropriate route to connect the starting point and ending point of the environment with Intruders. Ant colony algorithm, which is used to deceive the intruders in the path planning initialization can also improve and safeguard the data collection from the base station to the nodes and vice versa. The idea is to allow the non-uniform distribution of KMT with the initial pheromone and the selection strategy with direction playing a very positive role in the path search. This method will deceive the intruders while introducing the actual coverage and updating strategy of pheromone repeatedly in false search and eliminating the effect of the intruders. In addition, the pheromone disappearance coefficient is segmented and adjusted, which can effectively balance the convergence speed and communication of the sensor nodes. Finally, this research provides a theoretical basis for key management technique with an ant colony optimization by strict mathematical derivation, and some numerical evaluations using MATLAB. We intend to complete this research by using Cooja simulator to illustrate the usefulness of the theoretical outcomes.