A Comprehensive Review on Optimal Cluster Head Selection in WSN-IoT. (September 2022)

• Record Type: Journal Article
• Authors: Ramya, R.; Brindha, Dr. T.
• Is Part Of: Advances in engineering software. Volume 171(2022)
• Publication Date: 2022-09
• Subjects: WSN-IoT, Cluster Head Selection -- energy, network lifetime -- optimization; WSN Wireless Sensor Network -- BOA Butterfly Optimization Algorithm -- CSO Crow Search Optimization -- IoT Internet of Things -- MFO Moth Flame Optimization -- FLC Fuzzy Logic Controller -- QoS Quality of Service -- SSA Squirrel Search Algorithm -- SEA Stable Election Algorithm -- PSO Particle Swarm Optimization -- WBAN Wireless Body Area Network -- DE Differential Evolution -- LEACH Low Energy Adaptive Clustering Hierarchy -- GA Genetic Algorithm -- HQCA High-Quality Clustering Algorithm -- GOA Grasshopper Optimization Algorithm -- MOTCO MultiObjective Taylor Crow Optimization -- ALO Ant Lion Optimization -- FCM Fuzzy C-Means -- GWO Grey Wolf Optimization -- PEGASIS Power-Efficient Gathering in Sensor Information Systems -- FL-AFOA Fuzzy Logic and Artificial Flora Optimization Algorithm -- RE Residual Energy -- MOBSO-DE Multi-Objective Bee Swam Optimization with DE -- SFO Sailfish Optimizer -- EEHCHR Energy-Efficient Hybrid Clustering and Hierarchical Routing -- CSO Cat Swarm Optimization -- DNN distance to nearby nodes -- TCH Temporary Cluster Head -- ROA Rider Optimization Algorithm -- E2E End to End -- SOA Spider Optimization Algorithm -- C-SSA Cat Salp Swarm Algorithm -- FCH Final Cluster Head -- CS Cuckoo Search -- ACO Ant Colony Optimization -- PE Position Estimation -- NE Nash Equilibrium -- UE User Equipment -- ECRRS Energy Efficient CH Rotation and Relay Node Selection -- MDC Mobile Data Collector -- RCSO Rider-Cat Swarm Optimization -- PTA Preference-based Trust Selection Algorithm -- LID Lower ID -- OCE-CHS Optimized Cluster Establishment and Cluster-Head Selection -- AP Articulation Point -- DAAM Distributed Address Assignment Mechanism -- SPNE Sub-game Perfect NE -- C3HA Cluster Centered Cluster Head Selection Algorithm -- DBSCDS Distance Based Stable Connected Dominating Set -- NNs Neural Networks -- CTEEDG Cluster-Tree-based Energy-Efficient Data Gathering -- GH Grid Head -- IEECHS Improved Energy Efficient CHS -- MEACBM Mobile Energy Aware Cluster Based Multi-hop -- SAPSO Self-Adaptive PSO -- DDR Distributed, and Randomized -- DTBS distance to BS -- RCC Random Competition-based Clustering -- EDCHSM enhanced dynamic CHS method -- AI Artificial Intelligence -- GSO Glowworm Swarm Optimization -- CCEF Cluster Compactness Estimation Factor -- WOA Whale Optimization Algorithm -- RSS Received Signal Strength -- iABC improved Artificial Bee Colony -- MWVCP Minimum Weighted Vertex Cover Problem -- Taylor KFCM Taylor kernel fuzzy C-means -- TDMA Time Division Multiple Access -- SADSS Self Adapting Differential Search Strategies -- EEUC energy-efficient unequal clustering model -- AFSA Artificial Fish Swarm Algorithm -- ECH-DUAL energy-based CH unequal clustering approach -- BS Base Station -- HSA Harmony Search Algorithm -- FL-TEEN Fuzzy logic Threshold-sensitive energy-efficient sensor network; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2022.103170
• Languages: English
• ISSNs: 0965-9978

Abstract

Abstract: Nowadays, Wireless Sensor Network (WSN) based Internet of Things (IoT) is a highly developed field that shows a promising area for research because they are economical and simple to manage and maintain. The network comprises a group of sensor nodes that can sense, compute and transmit. In WSN-IoT, energy conservation becomes a significant challenge to extend the network lifetime. So far, numerous efforts have been taken to enhance the routing protocols in the network through the clustering approach, since clustering is considered an effective and appropriate technique transmits the data without any issue. Nevertheless, in the clustering concept, Cluster Head Selection (CHS) is considered a complex process as it has to persuade specific metrics for effective performance. If appropriate clustering is not performed, the network will undergo energy depletion which fails in the network. As a solution to this, suitable techniques for the selection of Cluster Head (CH) play an important role in WSN-IoT. Therefore, this review presents a comprehensive analysis of 85 research papers based on conventional CHS approaches in the WSN-IoT. Additionally, this work analysis numerous approaches based on their categories, and utilized software tools, published years, and performance metrics and are discussed. Here, the categorization of approaches is performed based on optimization algorithms, clustering techniques, Artificial Intelligence techniques, Low-Energy Adaptive Clustering Hierarchy (LEACH) approach, and other approaches. From the analysis, it is clear that conventional approaches prolong the network lifetime as well as reduce energy depletion, but they fail to provide enhanced security, and Quality of Service (QoS), and also they fail to balance the temperature and load of WSN-IoT devices. Subsequently, numerous problems and challenges have been laid down, and finally, concluded that when an optimization algorithm is integrated with the machine learning approach, QoS, security, temperature, and load balance can be attained besides energy efficiency as well as network longevity.