Energy-Efficient Load Balancing in WSN with the help of Modified Ant-based Routing Algorithm
Wireless Sensing Networks (WSN) is a type of self-organizing network with limited energy and communication capabilities. The major issue in WSN is the use of an Energy Efficiency Protocol (EE) to extend network life. Therefore this work proposes the Modified Ant-based Routing Algorithm for EE Load Balancing (MARA-EELB) in WSN. MARA-EELB uses a random route detection algorithm and an advanced pheromone trail update system to balance the power consumption of sensor nodes. It uses an efficient algorithm for possible updates based on the greedy scale of energy costs, which is expected to optimize route creation. Finally, to reduce energy consumption caused by control overload, MARA-EELB uses an energy-based conditional transmission scheme. We simulate WSN in various application scenarios to evaluate MARA-EELB in terms of performance indicators such as power consumption, energy efficiency and expected network life. The results of this comprehensive study show that MARA-EELB provides significant improvement over current approaches.