Clustering Based Optimal Cluster Head Selection Using Bio-Inspired Neural Network in Energy Optimization of 6LowPAN

Mudassir Khan, A. Ilavendhan, C. Nelson Kennedy Babu, Vishal Jain, S. B. Goyal, Chaman Verma, Calin Ovidiu Safirescu and Traian Candin Mihaltan
Additional contact information
Mudassir Khan: Department of Computer Science, College of Science & Arts Tanumah, King Khalid University, Abha 62529, Saudi Arabia
A. Ilavendhan: Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India
C. Nelson Kennedy Babu: Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai 602105, India
Vishal Jain: Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida 201310, India
S. B. Goyal: Faculty of Information Technology, City University, Petaling Jaya 46100, Malaysia
Chaman Verma: Department of Media and Educational Informatics, Faculty of Informatics, Eotvos Lorand University, 1053 Budapest, Hungary
Calin Ovidiu Safirescu: Environment Protection Department, Faculty of Agriculture, University of Agriculture Sciences and Veterrnary Medicine Cluj-Napoca, Calea Manastur No 3-5, 400372 Cluj-Napoca, Romania
Traian Candin Mihaltan: Faculty of Building Services, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania

Energies, 2022, vol. 15, issue 13, 1-14

Abstract: The goal of today’s technological era is to make every item smart. Internet of Things (IoT) is a model shift that gives a whole new dimension to the common items and things. Wireless sensor networks, particularly Low-Power and Lossy Networks (LLNs), are essential components of IoT that has a significant influence on daily living. Routing Protocol for Low Power and Lossy Networks (RPL) has become the standard protocol for IoT and LLNs. It is not only used widely but also researched by various groups of people. The extensive use of RPL and its customization has led to demanding research and improvements. There are certain issues in the current RPL mechanism, such as an energy hole, which is a huge issue in the context of IoT. By the initiation of Grid formation across the sensor nodes, which can simplify the cluster formation, the Cluster Head (CH) selection is accomplished using fish swarm optimization (FSO). The performance of the Graph-Grid-based Convolution clustered neural network with fish swarm optimization (GG-Conv_Clus-FSO) in energy optimization of the network is compared with existing state-of-the-art protocols, and GG-Conv_Clus-FSO outperforms the existing approaches, whereby the packet delivery ratio (PDR) is enhanced by 95.14%.

Keywords: RPL; fish swarm; bio-inspired approach; energy optimization; grid formation; convolution clustering; data transmission; cluster head; alive and dead node (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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