A new Ant Colony Optimization Routing Approach Based Fuzzy Clustering in Wireless Sensor Network
Mohammad Gholipour · revista · 2019
Wireless sensor network (WSN) used to monitor or control a specific environment, consists of numerous sensor nodes which are connected to each other in order to perform some tasks. The sensor nodes have restricted power supply, processing capability and memory capacity. Since nodes’ power supply is not rechargeable in most WSN’s application and network lifetime is severely depend on vivid nodes, energy consumption is one of the main challenges in WSN. Therefore, designed schemas which are used in WSN should be as much as possible energy efficient. Clustering and determine forwarding path in routing are main approaches in design energy efficient algorithms. In this paper, we propose a novel approach in order to clustering and routing. A Fuzzy system in order to clustering and an ant-colony optimization (ACO) approach in order to routing have been used in the proposed approach so that lead to prolong network lifetime by sufficient load distribution. The simulation results illustrate that the proposed approach has more efficiency and prolong network lifetime.