Wireless Sensor Networks(WSNs)play an indispensable role in the lives of human beings in the fields of environment monitoring,manufacturing,education,agriculture etc.,However,the batteries in the sensor node under deployment in an unattended or remote area cannot be replaced because of their wire-less existence.In this context,several researchers have contributed diversified number of cluster-based rout-ing schemes that concentrate on the objective of ex-tending node survival time.However,there still ex-ists a room for improvement in Cluster Head(CH)se-lection based on the integration of critical parameters.The meta-heuristic methods that concentrate on guar-anteeing both CH selection and data transmission for improving optimal network performance are predom-inant.In this paper,a hybrid Marine Predators Opti-mization and Improved Particle Swarm Optimization-based Optimal Cluster Routing(MPO-IPSO-OCR)is proposed for ensuring both efficient CH selection and data transmission.The robust characteristic of MPOA is used in optimized CH selection,while improved PSO is used for determining the optimized route to ensure sink mobility.In specific,a strategy of posi-tion update is included in the improved PSO for en-hancing the global searching efficiency of MPOA.The high-speed ratio,unit speed rate and low speed rate strategy inherited by MPOA facilitate better exploita-tion by preventing solution from being struck into local optimality point.The simulation investigation and statistical results confirm that the proposed MPO-IPSO-OCR is capable of improving the energy stabil-ity by 21.28％,prolonging network lifetime by 18.62％and offering maximum throughput by 16.79％when compared to the benchmarked cluster-based routing schemes.

A. Balamurugan;Sengathir Janakiraman;M. Deva Priya;A. Christy Jeba Malar

Department of Computer Science&Engineering,KPR Institute of Engineering and Technology,Coimbatore,Tamilnadu,India;Department of Information Technology,CVR College of Engineering,Hyderabad,Telangana,India;Department of Computer Science&Engineering,Sri Eshwar College of Engineering,Coimbatore,Tamilnadu,India;Department of Information Technology,Sri Krishna College of Technology,Coimbatore,Tamilnadu,India

中国通信（英文版）

[1]A. Balamurugan;Sengathir Janakiraman;M. Deva Priya;A. Christy Jeba Malar-.Hybrid Marine Predators Optimization and Improved Particle Swarm Optimization-Based Optimal Cluster Routing in Wireless Sensor Networks(WSNs))[J].中国通信（英文版）,2022(06):219-247

unattended,ists,guar,anteeing,MPOA,hancing

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