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Parametric analysis on optimized energy-efficient protocol in wireless sensor network

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Abstract

Clustering is considered to be the most significant method for resolving conflicts of data transmission and maximizing the life span of the network in Wireless Sensor Networks (WSNs). The sensor nodes are densely deployed to satisfy the coverage requirement; this causes some nodes to lazy mode. Some algorithms of cluster heads (CHs) selection were already proposed for sufficient energy management. However, it remains as a challenging task in WSN due to network scalability, protocol characteristics, and data transfer rate. This paper aims to propose a novel clustering model is proposed by this research work for cluster head selection (CHS) that considers four primary constraints: namely energy consumption, delay, distance, and security. In addition, for optimal selection of CH, a novel algorithm, which is the hybridization of the Dragon Fly (DA) algorithm and firefly algorithm, is proposed. The proposed hybrid algorithm is named as FireFly replaced Position Update in Dragonfly (FPU-DA). The performance of the proposed work is compared with conventional algorithms. Subsequently, a parametric analysis is performed by varying the weight factor of the proposed FPU-DA model to investigate its impact on the performance of the CHS problem. The proposed FPU-DA model at round 2000 shows 9%, better than KNN and SOM. Thus, the analysis results proved that the proposed model attains a better life span when compared to that of other conventional models.

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Abbreviations

WSN:

Wireless sensor networks

CH:

Cluster head

CHS:

Cluster head selection

DA:

Dragon fly

FF:

Firefly algorithm

BS:

Base station

FPU-DA:

FF replaced position update in DA

FMCR-CT:

Fuzzy multi cluster-based routing with constant threshold

GA:

Genetic algorithm

ENEFC:

Energy-efficient clustering

HRMH:

Hierarchical routing using multi-hop

HRML:

HR using multilevel

NAN:

Number of alive nodes

NNE:

Normalized network energy

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Funding

The author would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code: 19-COM-1-01-0002.

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Authors and Affiliations

  1. Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

    Turki Ali Alghamdi

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  1. Turki Ali Alghamdi
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The author has come out with the proposed idea; he had make sole contribution for the development and carried out all the research work.

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Correspondence to Turki Ali Alghamdi.

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Communicated by V. Loia.

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Alghamdi, T.A. Parametric analysis on optimized energy-efficient protocol in wireless sensor network. Soft Comput 25, 4409–4421 (2021). https://doi.org/10.1007/s00500-020-05449-8

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  • DOI: https://doi.org/10.1007/s00500-020-05449-8

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