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Real-Time Implementation of a Harmony Search Algorithm-Based Clustering Protocol for Energy-Efficient Wireless Sensor Networks

机译:节能无线传感器网络中基于和谐搜索算法的聚类协议的实时实现

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摘要

In real-life applications of wireless sensor networks (WSNs), optimization of the network operation is required to extend its lifetime. A framework is proposed that enables practical development of centralized cluster-based protocols supported by optimization methods for the WSNs. Based on this framework, a protocol using harmony search algorithm (HSA), a music-based meta-heuristic optimization method, is designed and implemented in real time for the WSNs. It is expected to minimize the intra-cluster distances between the cluster members and their cluster heads (CHs) and optimize the energy distribution of the WSNs. The study of HSA cluster-based protocol is carried out in a real case where the WSNs equipped with the proposed protocol are deployed in an indoor environment to monitor the ambient temperature for fire detection. A comparison is made with the well-known cluster-based protocols developed for WSNs such as low-energy adaptive clustering hierarchy-centralized (LEACH-C) and a cluster-based protocol using Fuzzy C-Means (FCM) clustering algorithm. Experimental results demonstrate that the proposed protocol using HSA can be realized in centralized cluster-based WSNs for safety and surveillance applications in building environments. From the obtained experimental test results, it can be seen that the WSNs lifetime has been extended using the proposed HSA protocol in comparison with that of LEACH-C and FCM protocols.
机译:在无线传感器网络(WSN)的实际应用中,需要优化网络操作以延长其使用寿命。提出了一种框架,该框架使得能够实际开发由WSN的优化方法支持的基于集中式群集的协议。在此框架的基础上,针对WSN实时设计并实现了基于和声搜索算法(HSA)的协议,该协议是一种基于音乐的元启发式优化方法。期望最小化群集成员与其群集头(CH)之间的群集内距离,并优化WSN的能量分布。对基于HSA群集的协议的研究是在实际情况下进行的,在这种情况下,配备有建议协议的WSN被部署在室内环境中,以监视环境温度以进行火灾探测。与为WSN开发的众所周知的基于群集的协议进行了比较,例如低能耗自适应群集分层集中式(LEACH-C)和使用模糊C均值(FCM)群集算法的基于群集的协议。实验结果表明,所提出的使用HSA的协议可以在基于集群的集中式WSN中实现,以用于建筑环境中的安全和监视应用。从获得的实验测试结果可以看出,与LEACH-C和FCM协议相比,使用拟议的HSA协议可以延长WSN的寿命。

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