An Energy Efficient Routing Algorithm Based on Ant Colony Optimization in WSNs
Wireless Sensor Networks(WSNs)are characterized by nodes with limited energy resources,rendering energy efficiency a paramount consideration in data transmission.In WSNs,minimizing node energy consumption is crucial for enhancing the efficiency and reliability of data transmission,as well as prolonging the overall network lifespan.To address this challenge,this paper introduces an energy-efficient routing algorithm for WSNs based on an improved Ant Colony Optimization(ACO)approach.With the aim of balancing energy consumption among nodes,the algorithm incorporates residual energy as an energy control factor.This control factor not only impacts the network's lifetime but also bolsters the efficiency of data transmission.By employing the ACO algorithm,optimal paths are identified for data transmission between cluster heads and sink nodes from among various available routes.Simulation results demonstrate that the proposed improved ACO-based low-energy adaptive clustering hierarchy algorithm outperforms other conventional algorithms in terms of clustering effectiveness,thereby substantiating its potential in enhancing WSN performance while conserving precious energy resources.
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