咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Hybrid Swarm Intelligence Base... 收藏

Hybrid Swarm Intelligence Based QoS Aware Clustering with Routing Protocol for WSN

作     者:M.S.Maharajan T.Abirami Irina V.Pustokhina Denis A.Pustokhin K.Shankar 

作者机构:Department of Computer Science and EngineeringGRT Institute of Engineering and TechnologyTiruttani631209India Department of Information TechnologyKongu Engineering CollegeErode638060India Department of Entrepreneurship and LogisticsPlekhanov Russian University of EconomicsMoscow117997Russia Department of LogisticsState University of ManagementMoscow109542Russia Department of Computer ApplicationsAlagappa UniversityKaraikudi630001India 

出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))

年 卷 期:2021年第68卷第9期

页      面:2995-3013页

核心收录:

学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0701[理学-数学] 0801[工学-力学(可授工学、理学学位)] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

主  题:Quality of service clustering routing energy efficiency wireless sensor networks swarm intelligence 

摘      要:Wireless Sensor Networks(WSN)started gaining attention due to its wide application in the fields of data collection and information *** recent advancements in multimedia sensors demand the Quality of Service(QoS)be maintained up to certain *** restrictions and requirements in QoS management completely depend upon the nature of target *** of the major QoS parameters in WSN are energy efficiency,network lifetime,delay and *** this scenario,clustering and routing are considered as the most effective techniques to meet the demands of *** they are treated as NP(Non-deterministic Polynomial-time)hard problem,Swarm Intelligence(SI)techniques can be *** current research work introduces a new QoS aware Clustering and Routing-based technique using Swarm Intelligence(QoSCRSI)*** proposed QoSCRSI technique performs two-level clustering and proficient ***,the fuzzy is hybridized with Glowworm Swarm Optimization(GSO)-based clustering(HFGSOC)technique for optimal selection of Cluster Heads(CHs).Here,Quantum Salp Swarm optimization Algorithm(QSSA)-based routing technique(QSSAR)is utilized to select the possible routes in the *** order to evaluate the performance of the proposed QoSCRSI technique,the authors conducted extensive simulation analysis with varying node *** experimental outcomes,obtained from the proposed QoSCRSI technique,apparently proved that the technique is better compared to other state-of-the-art techniques in terms of energy efficiency,network lifetime,overhead,throughput,and delay.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分