A mobile ad hoc network (MANET) is a collection of mobile nodes that dynamically form a temporary network without using\nany existing network infrastructure. MANET selects a path with minimal number of intermediate nodes to reach the destination\nnode. As the distance between each node increases, the quantity of transmission power increases. The power level of nodes affects\nthe simplicity with which a route is constituted between a couple of nodes. This study utilizes the swarm intelligence technique\nthrough the artificial bee colony (ABC) algorithm to optimize the energy consumption in a dynamic source routing (DSR) protocol\nin MANET. The proposed algorithm is called bee DSR (BEEDSR). The ABC algorithm is used to identify the optimal path from\nthe source to the destination to overcome energy problems. The performance of the BEEDSR algorithm is compared with DSR\nand bee-inspired protocols (BeeIP). The comparison was conducted based on average energy consumption, average throughput,\naverage end-to-end delay, routing overhead, and packet delivery ratio performance metrics, varying the node speed and packet size.\nThe BEEDSR algorithm is superior in performance than other protocols in terms of energy conservation and delay degradation\nrelating to node speed and packet size.
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