In wireless sensor networks (WSNs), designing a stable, low-power routing protocol is a major challenge because successive changes in links or breakdowns destabilize the network topology. Therefore, choosing the right route in this type of network due to resource constraints and their operating environment is one of the most important challenges in these networks. Therefore, the main purpose of these networks is to collect appropriate routing information about the environment around the network sensors while observing the energy consumption of the sensors. One of the important approaches to reduce energy consumption in sensor networks is the use of the clustering technique, but in most clustering methods, only the criterion of the amount of energy of the cluster or the distance of members to the cluster has been considered. Therefore, in this paper, a method is presented using the firefly algorithm and using the four criteria of residual energy, noise rate, number of hops, and distance. The proposed method called EM-FIREFLY is introduced which selects the best cluster head with high attractiveness and based on the fitness function and transfers the data packets through these cluster head to the sink. The proposed method is evaluated with NS-2 simulator and compared with the algorithm-PSO and optimal clustering methods. The evaluation results show the efficiency of the EM-FIREFLY method in maximum relative load and network lifetime criteria compared to other methods discussed in this article.
翻译:在无线传感器网络(WSNs)中,设计稳定、低功率路由协议是一项重大挑战,因为链路或断裂的连续变化会破坏网络的地形结构。因此,由于资源限制和运行环境,选择这类网络的正确路线是这些网络中最重要的挑战之一。因此,这些网络的主要目的是收集网络传感器周围环境的适当路线信息,同时观察传感器的能源消耗量。减少传感器网络能源消耗的重要方法之一是使用集群技术,但在大多数集群方法中,只考虑集群能源量或成员与集群的距离的标准。因此,在本文件中,采用了一种方法,使用灭火算法,并使用剩余能源、噪音率、跳跃次数和距离的四项标准。拟议的方法称为EM-FIREFLY,该方法选择了具有高度吸引力的最佳集群头目,并基于健身功能,将数据包通过这些集群头转移到水槽。拟议方法仅与NS-2模拟数据组的能量量标准或集群成员与集群的距离进行了评估。在本文件中,与AFAL-MA-PSO的最大成本方法进行比较,该方法中,该方法显示了该成本-MA-MA-MASOAFSO的最大分析方法。