Uneven Clustering Routing Protocol for Wireless Sensor Networks based on Fruit Fly Optimization Algorithm
نویسندگان
چکیده
For the energy and computing capability of nodes are limited in Wireless sensor networks (WSNs). In order to decrease the dead speed of the nodes, proposes an uneven clustering routing protocol for wireless sensor networks based on Fruit Fly Optimization Algorithm (FOA-UCR). By using Fruit Fly Optimization Algorithm to select a set of optimal nodes as cluster heads and selects secondary nodes from member nodes to cooperate with cluster heads to transmit data to base station. FOA-UCR uses greedy algorithm to find optimal path to communicate with base station. Simulation results demonstrate that this protocol can efficiently balance the energy consumption of network, and prolong the network lifetime.
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