Secure and energy efficient routing is one of the major requirements of the WSN models. This is due to the resource constrained environments and remotely deployed conditions. This work proposes an effective model that ensures security and energy efficiency during the routing process in a WSN. The proposed model modifies the Ant Colony Optimization algorithm to perform routing based on these multiple objectives. The proposed model uses trust as the major component to provide security, and the randomness associated with the metaheuristic nature of the model enables uniform usage of all sensor nodes. This also extends the network lifetime, making the proposed model highly efficient and deployable in real-time networks. Experiments and comparisons also indicate that the proposed model exhibits shorter time requirements and provides more optimized paths compared to models in literature.
A trust based congestion aware hybrid Ant Colony Optimization algorithm for energy efficient routing in Wireless Sensor Networks (TC-ACO)
