Cluster Head Selection Technique Using Four Parameters of Wireless Sensor Networks

Islam, Saiful; Khan, Md. Nurul Islam; Islam, SM Jahidul; Akhtar, Mst. Jahanara

doi:10.1109/iccci.2019.8822137

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…In (Zhao, Qu, & & Yi, 2018) Authors in (Islam, Khan, Islam, & Akhtar, 2019) introduced a straightforward balanced CH selection strategy that aims to save energy and prolong the network lifetime. This approach considers four factors: remaining energy, the number of neighbour nodes, the distance between the base station (BS) and the cluster heads (CHs), and onehop neighbour information.…”

Section: Related Work To Ch Selection Select Bch and Handover Mechanismmentioning

confidence: 99%

“…In this approach, the network is divided into different blocks called clusters, where one member node acts as a cluster head (CH), and all members transfer their data to the CH. The CH collects data from members and transfers it to the next CH or directly to the base station for further processing (Islam, Khan, Islam, & Akhtar, 2019) as in Figure 1. Heni Zelman is a pioneer of clustering approach; they proposed a new protocol named LEACH (Xiangning & Yulin, 2007, October).…”

Section: Introductionmentioning

confidence: 99%

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A Novel Secured and Efficient Clustering Approach for Wireless Sensor Networks Using Cluster-Head Handover Mechanism

Mousa,

Al-Ahwal,

Barakat

2024

Fayoum University Journal of Engineering

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Wireless sensor networks (WSNs) face significant challenges in terms of energy efficiency and security due to the limited energy capacity of sensor nodes and the sensitivity of the data they collect. This paper proposes an energy-efficient clustering and secure communication protocol for WSNs. The protocol includes an efficient cluster head (CH) selection scheme that employs backup CHs and a suitable CH handover threshold to reduce network energy consumption. Additionally, a pairing-free identity-based digital signature (PFIBDS) algorithm based on elliptic curve cryptography (ECC) is implemented to ensure secure communication between CH and base station (BS) and CH and sensor nodes (SN). The proposed protocol is evaluated through simulations using MATLAB and compared against modified versions of existing protocols. The simulation results show that the proposed protocol outperforms the modified EECSM protocol in terms of network lifetime by 86.55% when the CH handover threshold is set to 40%. An optimal CH handover threshold of 60% is identified to balance prolonging network lifetime and achieving satisfactory average residual energy. Overall, the proposed protocol offers an effective solution for energy-efficient clustering and secure communication in WSNs.

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Section: Related Work To Ch Selection Select Bch and Handover Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Secured and Efficient Clustering Approach for Wireless Sensor Networks Using Cluster-Head Handover Mechanism

Mousa,

Al-Ahwal,

Barakat

2024

Fayoum University Journal of Engineering

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“…To power the whole network, we utilized a total of 35 nJ. We compared our study with recently established methods using clustering and data transfer similar to LEACH and found a considerable improvement [25].…”

Section: Related Workmentioning

confidence: 99%

A Systematic Study of Clustering Techniques for Energy Efficiency in Wireless Sensor Networks

Mutar¹,

Hammood²,

Hashem³

2023

IJCDS

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Recent advances in wireless sensor networks (WSNs) may be attributed to their increased accuracy and speed while gathering data, wireless communication, and data computation. Small, low-power sensor nodes present in these networks organize and set themselves up to do the activities that they are designed for. WSNs benefits are economical, simple to set up, adaptable, and efficient. However, there are some issues with longevity of networks and low energy consumption. By grouping nodes into a small number of clusters and choosing a cluster head (CH) to oversee data aggregation and transmission to the base station (BS), clustering has shown to be the most effective method for dealing with the difficulties of WSNs. Nevertheless, the insufficient CH selection and cluster construction methods, there are still a lot of challenges, including energy hole and isolated node difficulties. To learn more about this topic of how certain authors approach the aforementioned issues, we conducted an in-depth study of several meta-heuristic and non-heuristic approaches used in networks in a wide range of environments to choose CH and cluster creation, which are discussed in this paper.

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“…𝑛𝐹(𝑛_ℎ_𝑗) (11) The variance (μ) of AverageRj for all clusters is used to ensure the CH has adequate energy to receive and transmit the sensed data for the current round as shown in (12). Moreover, to balance the energy dissipation load of the CH and lengthen the network life cycle, the standard deviation (σ) is employed as shown in (13). (13) Thus, σ with the most negligible value will balance CH's energy dissipation and help extend the network lifetime.…”

Section: 𝐴𝑣𝑒𝑟𝑎𝑔𝑒𝑅𝑗 = 𝑅𝐸(𝑛_ℎ_𝑗)mentioning

confidence: 99%

Fine-tuning approach in metaheuristic algorithm to prolong wireless sensor networks nodes lifetime

Rahiman

Williams

Zakaria

2022

IJEECS

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Wireless sensor networks (WSN) have evolved a vibrant and lively research field. It comprises numerous wise and low-power consumption devices for gathering the contiguous atmosphere's data. However, the energy dissipation matter that distorts network lifetime remains the challenge since the sensor node battery is non-rechargeable and irreplaceable. Clustering and routing protocol has become the furthermost solutions and invariably minimizes depletion and prolongs the sensor node lifetime. Such protocols have adopted metaheuristic algorithms to secure the efficiency of the clustering and routing protocols. However, the cluster head's extensive task favors consuming and draining more energy. This study proposed a fine-tuning solution for the sensor node's population and generation sizes. It benefits from the modified problem-oriented genetic algorithm parameters in securing the sensor node lifetime. Besides, the solution works effectively to balance the load of the cluster head nodes. A set of simulations has been performed using MATLAB R2018b on the proposed solution, namely the energy efficient of genetic (EEG) algorithm and has revealed that the solution outperforms the network lifetime and cluster head load of the existing solution.

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Cluster Head Selection Technique Using Four Parameters of Wireless Sensor Networks

Cited by 5 publications

References 16 publications

A Novel Secured and Efficient Clustering Approach for Wireless Sensor Networks Using Cluster-Head Handover Mechanism

A Novel Secured and Efficient Clustering Approach for Wireless Sensor Networks Using Cluster-Head Handover Mechanism

A Systematic Study of Clustering Techniques for Energy Efficiency in Wireless Sensor Networks

Fine-tuning approach in metaheuristic algorithm to prolong wireless sensor networks nodes lifetime

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