Energy‐efficient cluster manager‐based cluster head selection technique for communication networks

Amutha, S.; Kannan, B.; Kanagaraj, M.

doi:10.1002/dac.4741

“…The number of rounds used for implementation is 3500 rounds. In addition, the simulation setup [32][33][34] considered for implementing the proposed RDSAOA-EECP protocol is presented in Table 1. Initially, the proposed RDSAOA-EECP protocol and the benchmarked GAPSO-CS, EHOCS and GAMFO approaches are evaluated based on Network Lifetime (rounds), Energy Consumptions, Throughput and Packet Delay with density of sensor nodes.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

Rajeswarappa

¹

,

Vasundra

²

2021

Wireless Pers Commun

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Energy stability is considered as the core challenge of Wireless Sensor Networks (WSNs) as it is the main factor that contributes towards improved network lifetime expectancy. Clustering with maximized energy efficiency is determined to be the well documented NP hard optimization solution that has the possibility of resulting in prolonged network lifetime. Diversified number of computational approaches that includes nature inspired metaheuristic algorithms, reinforcement schemes and evolutionary algorithms were used for attaining efficient clustering process in WSNs. In this paper, Red Deer and Simulation Annealing Optimization Algorithm-based Energy Efficient Clustering Protocol (RDSAOA-EECP) is proposed for improving lifetime expectancy and energy stability in WSNs. This clustering protocol is proposed with the global optimization capability of the red deer optimization algorithm and local optimization potential of simulation annealing. In specific, RDA is used for diversification and Simulated Annealing (SA) for intensification in order to establish balance between them during the clustering process in order to sustain energy stability. This RDSAOA-EECP protocol is proposed with SA as the search tool that prevents the phases of fighting and roaring phases of RDA involved in the intensification process. Moreover, this clustering protocol inherits the potentialities of the proposed metaheuristic properties in order to achieve optimal cluster heads together with the optimal base station location for the objective of enhancing energy efficiency. The simulation results of the proposed RDSAOA-EECP protocol guaranteed its potentiality over the baseline clustering approaches in improving network lifetime, throughput, packet deliver rate with minimized network latency and energy consumptions independent to the homogeneous and heterogeneous sensor network setup considered for implementation.

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“…The number of rounds used for implementation is 3500 rounds. In addition, the simulation setup [32][33][34] considered for implementing the proposed RDSAOA-EECP protocol is presented in Table 1. Initially, the proposed RDSAOA-EECP protocol and the benchmarked GAPSO-CS, EHOCS and GAMFO approaches are evaluated based on Network Lifetime (rounds), Energy Consumptions, Throughput and Packet Delay with density of sensor nodes.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Red Deer and Simulation Annealing Optimization Algorithm-based Energy Efficient Clustering Protocol for Improved lifetime expectancy in Wireless Sensor Networks (WSNs)

Govardanagiri

¹

,

Vasundra

²

2021

Preprint

1

0

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Energy stability is considered as the core challenge of Wireless Sensor Networks (WSNs) as it is the main factor that contributes towards improved network lifetime expectancy. Clustering with maximized energy efficiency is determined to be the well documented NP hard optimization solution that has the possibility of resulting in prolonged network lifetime. Diversified number of computational approaches that includes nature inspired metaheuristic algorithms, reinforcement schemes and evolutionary algorithms were used for attaining efficient clustering process in WSNs. In this paper, Red Deer and Simulation Annealing Optimization Algorithm-based Energy Efficient Clustering Protocol (RDSAOA-EECP) is proposed for improving lifetime expectancy and energy stability in WSNs. This clustering protocol is proposed with the global optimization capability of the red deer optimization algorithm and local optimization potential of simulation annealing. In specific, RDA is used for diversification and Simulated Annealing (SA) for intensification in order to establish balance between them during the clustering process in order to sustain energy stability. This RDSAOA-EECP protocol is proposed with SA as the search tool that prevents the phases of fighting and roaring phases of RDA involved in the intensification process. Moreover, this clustering protocol inherits the potentialities of the proposed metaheuristic properties in order to achieve optimal cluster heads together with the optimal base station location for the objective of enhancing energy efficiency. The simulation results of the proposed RDSAOA-EECP protocol guaranteed its potentiality over the baseline clustering approaches in improving network lifetime, throughput, packet deliver rate with minimized network latency and energy consumptions independent to the homogeneous and heterogeneous sensor network setup considered for implementation.

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“…The authors from [36] proposed a cluster managerbased cluster head selection (CMBCH) scheme to reduce the workload of the CH. In this literature, the cluster formation phase is carried out first followed by cluster manager selection and CH selection.…”

Section: Cluster Head Selectionmentioning

confidence: 99%

A Survey on Cluster Head Selection and Cluster Formation Methods in Wireless Sensor Networks

Raj

¹

,

Ahmedy

²

,

Idris

³

et al. 2022

Wireless Communications and Mobile Computing

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In recent years, wireless sensor networks (WSNs) have been growing rapidly because of their ability to sense data, communicate wirelessly, and compute data efficiently. These networks contain small and low-powered sensor nodes that organize and configure themselves to carry out their functions. Even though WSNs are cheap, easy to deploy, flexible, and efficient, there are some challenges in terms of energy efficiency and network lifetime. Clustering in WSNs is the most reliable solution for the challenges, in which nodes are grouped into few clusters, and a cluster head (CH) is selected for data aggregation and data transfer to the base station (BS). However, there are still many challenges such as energy hole and isolated node problems that exist because of inefficient CH selection and cluster formation methods. In this work, we comprehensively reviewed various nonmetaheuristic and metaheuristic methods for CH selection and cluster formation that are used in networks from various environmental settings, for a better understanding of how the aforementioned problems are tackled by some authors. Moreover, the methods’ parameter settings, advantages, limitations, and future directions are presented with a brief performance summary of the approaches.

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Energy‐efficient cluster manager‐based cluster head selection technique for communication networks

Abstract: REFERENCE1. Amutha S, Kannan B, Kanagaraj M. Energy-efficient cluster manager-based cluster head selection technique for communication networks.

Cited by 10 publications

References 2 publications

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

Red Deer and Simulation Annealing Optimization Algorithm-based Energy Efficient Clustering Protocol for Improved lifetime expectancy in Wireless Sensor Networks (WSNs)

A Survey on Cluster Head Selection and Cluster Formation Methods in Wireless Sensor Networks

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