基于花粉算法的广域无线传感器网络最优数据聚合设计

Optimal data aggregation design of wide-area WSN based on flower pollination algorithm

随着物联网的不断发展,无线传感器网络作为物联网最重要的技术之一得到了广泛的关注。目前,由于传感器通常由电池供电,一旦部署终生使用,因此对于广域的无线传感器网络(Wireless sensor network,WSN),高效利用有限的能量,延长网络的使用寿命变得十分重要。本文设计了一种最优广域无线传感器网络数据聚合模型(Optimal data aggregation model,ODAM),通过将节点间的计算限制在接收器中,降低传感器网络中的能耗,采用花粉算法(Flower pollination algorithm,FPA)以进行ODAM中的优化,确保簇中能量的有效排列,为网络提供恒定的数据速率。仿真结果表明,针对WSN现有的聚类算法和架构模型进行评估时,ODAM模型能够有效地延长网络的生命周期。

With the continuous development of the Internet of things(IoT),the Wireless sensor network(WSN)has received extensive attention as one of the most important basic technologies of the IoT.Currently,since sensors are usually powered by batteries and are once deployed for life,the critical problem in wide-area WSN is how to efficiently utilize limited energy and extend the network lifetime.Therefore,this paper will design an Optimal data aggregation model(ODAM)for wide-area WSN,which reduces the energy consumption in the sensor network by restricting the calculations to the sink.Employing the Flower pollination algorithm(FPA)to solve the optimization problem formulated,ensures the energy-efficient permutations of clusters that provide a constant data rate to the network.The simulation results show that the ODAM can effectively prolong the lifetime of a network when evaluating the existing clustering algorithm and architecture model of WSN.