A clustering scheme for Reachback Firefly Synchronicity in wireless sensor networks
Yi Sun, Qing Feng Jiang, Kai Zhang · 2012
The firefly algorithm has become a hot issue in the research of wireless sensor networks (WSN) synchronization recently. In this paper, a clustering scheme is introduced to Reachback Firefly Algorithm (RFA), and this newly proposed algorithm is clustering firefly synchronization algorithm (CFSA). At the beginning of CFSA, the initial phases of all nodes in the network are sequenced for the purpose of calculating the number of clusters required. Then the entire network is divided into several clusters. Thus the original synchronization process can be decomposed into the following two steps: Cluster-intra synchronization and Cluster-inter synchronization. The simulation results show that CFSA improves the convergence rate of the system. Meanwhile, it effectively reduces the number of flashes, which leads to the mitigation in the overall network load.