基于改进Harris鹰优化的无线传感器网络分簇协议

打开文本图片集

摘要：针对无线传感器网络因能量效率低而导致网络生命周期短的问题，提出一种新的基于改进Harris鹰优化算法的无线传感器网络分簇协议（improved Harris hawk optimization based clustering protocols for wireless sensor networks，IHHOC）.IHHOC采用改进的Harris鹰优化算法获得最优簇头集，首先通过Sobol序列初始化种群，并考虑剩余能量、与基站距离以及节点密度这3个参数定义适应度函数，通过探索、过渡和开发逐次迭代最终求得最优解；其次，采用高斯随机游走策略避免IHHOC陷入局部最优.成簇后，在簇头邻近簇中基于剩余能量、与簇头和基站距离找到最优转发节点，进一步降低网络能量消耗.仿真实验结果表明，IHHOC能有效提高网络能量效率，增大网络吞吐量，延长网络生命周期.

关键词：无线传感器网络；分簇；Harris鹰优化；网络生命周期

中图分类号：TP393文献标志码：A文章编号：1671-5489（2024）05-1228-07

Improved Harris Hawk Optimization Based Clustering Protocolfor Wireless Sensor Networks

HU Huangshui，FANXinji，DENGYuhuan

（College of Com puter Science and Engineering，Changchun University of Technology，Changchun 130012，China）

Abstract：Aiming at the problem of short network life cycle due to low energy efficiency in wireless sensor networks，we proposed a novel improved Harris hawk optimization algorithm based clustering protocols for wireless sensor networks（IHHOC）.IHHOC adopted the improved Harris hawk optimization algorithm to obtain the optimal cluster head set.Firstly，the population was initialized by the Sobol sequence and the fitness function was defined by considering the three parameters of residual energy，the distance to the base station，and the density of nodes，and the optimal solution was finally obtained by iterating through the exploration，transition，and exploitation one after another.Secondly，Gaussian stochastic wandering strategy was used to avoid IHHOC falling into local optimum.Afterclustering，the optimal forwarding nodes were found in the neighboring clusters of the cluster head based on the residual energy，distance from the cluster head and base station to further reduce the network energy consumption.The simulation experiment results show thatIHHOC can effectively improve the network energy efficiency，increase the network throughput，and extend the network life cycle.

Keywords：wireless sensor network;clustering;Harris hawk optimization;network life cycle

随着物联网（Internet of Things，IOT）技术的迅速发展，无线传感器网络（wireless sensor networks，WSN）在军事侦察、灾害管理、安全监控、医疗卫生、工业自动化等领域应用越来越广泛.无线传感器网络由大量资源受限且难以充电的传感器节点组成，这些节点被随机部署在目标区域执行监测任务。（剩余8733字）