A Hybrid intelligent approach (mathematical modelling & simulation) for the Genetic Algorithm–Ant Colony Optimization (GA-ACO) Framework for Energy-Efficient and Congestion-Aware Cluster-Based Routing in Wireless Sensor Networks to enhance the energy e
Keywords:
Packet Delivery Ratio, Load Balancing, Delay Minimization, Swarm Intelligence, Fuzzy Inference System, Metaheuristic Optimization, Intelligent WSN DesignAbstract
In this paper, the hybrid implementation of the model of Genetic Algorithm with Ant Colony Optimization (GA-ACO) algorithm for the proposed research work on “Cluster-based routing by using advanced ICSHS algorithm for efficient energy management (Congestion minimization and energy aware cluster-based routing algorithms for wireless sensor networks)” is presented along with the simulation results and brief discussions along with the comparisions of the proposed work with others.
References
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