基于改进PSO的油气物联网双簇头路由算法  

Improved PSO-based Dual Cluster Head Routing Algorithm for Oil and Gas IoT

作　　者：刘苗[1] 钟晓曦 霍卓苗 徐迪[2] 贺庆 LIU Miao;ZHONG Xiaoxi;HUO Zhuomiao;XU Di;HE Qing(Northeast Petroleum University-Qinhuangdao,Qinhuangdao Hebei 066004,China;Northeast Petroleum University,School of Physics and Electronic Engineering,Daqing Heilongjiang 163318,China)

机构地区：[1]东北石油大学秦皇岛校区,河北秦皇岛066004 [2]东北石油大学物理与电子工程学院,黑龙江大庆163318

出　　处：《自动化与仪器仪表》2022年第6期17-22,共6页Automation & Instrumentation

摘　　要：针对油气物联网(Oil and Gas Internet of Things,OGIOT)能耗不均衡问题,提出一种基于改进粒子群优化算法(Particle Swarm Optimization,PSO)的油气物联网双簇头路由算法。该算法根据节点与基站的距离构造出中继簇和边缘簇,减小边缘簇中节点的传输距离,同时在中继簇中选举双簇头以均衡簇头能耗。然后根据节点的剩余能量和距离信息构造适应度函数,引入改进PSO算法优化簇头选举。同时还引入无线能量采集技术延长网络寿命。仿真结果表明,与传统算法相比,该算法能更有效地均衡网络能耗,延长网络寿命。A dual cluster head routing algorithm based on improved particle swarm optimization(PSO)is proposed for Oil and gas internet of things(OGIOT)with unbalanced energy consumption.The algorithm constructs relay clusters and edge clusters based on the distance between nodes and base stations,reduces the transmission distance of nodes in edge clusters,and selects dual cluster heads in relay clusters to balance the energy consumption of cluster heads.Then,the adaptation function is constructed based on the residual energy and distance information of the nodes,and the improved PSO algorithm is introduced to optimize the cluster head selection.The wireless energy harvesting technique is also introduced to extend the network lifetime.Simulation results show that the algorithm can more effectively equalize the network energy consumption and extend the network lifetime compared with the traditional algorithm.

关 键 词：粒子群优化算法 油气物联网 双簇头 无线能量采集 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]