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基于改進Harris鷹優(yōu)化的無線傳感器網絡分簇協(xié)議

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摘要:針對無線傳感器網絡因能量效率低而導致網絡生命周期短的問題,提出一種新的基于改進Harris鷹優(yōu)化算法的無線傳感器網絡分簇協(xié)議(improved Harris hawk optimization based clustering protocols for wireless sensor networks,IHHOC).IHHOC采用改進的Harris鷹優(yōu)化算法獲得最優(yōu)簇頭集,首先通過Sobol序列初始化種群,并考慮剩余能量、與基站距離以及節(jié)點密度這3個參數定義適應度函數,通過探索、過渡和開發(fā)逐次迭代最終求得最優(yōu)解;其次,采用高斯隨機游走策略避免IHHOC陷入局部最優(yōu).成簇后,在簇頭鄰近簇中基于剩余能量、與簇頭和基站距離找到最優(yōu)轉發(fā)節(jié)點,進一步降低網絡能量消耗.仿真實驗結果表明,IHHOC能有效提高網絡能量效率,增大網絡吞吐量,延長網絡生命周期.

關鍵詞:無線傳感器網絡;分簇;Harris鷹優(yōu)化;網絡生命周期

中圖分類號:TP393文獻標志碼:A文章編號: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

隨著物聯網(Internet of Things,IOT)技術的迅速發(fā)展,無線傳感器網絡(wireless sensor networks,WSN)在軍事偵察、災害管理、安全監(jiān)控、醫(yī)療衛(wèi)生、工業(yè)自動化等領域應用越來越廣泛.無線傳感器網絡由大量資源受限且難以充電的傳感器節(jié)點組成,這些節(jié)點被隨機部署在目標區(qū)域執(zhí)行監(jiān)測任務。(剩余8733字)

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