An Analytical Study of Energy Efficient Routing Approaches in Wireless Sensor Network

Jay Jain; Akhilesh A. Waoo

Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India

Research Article

An Analytical Study of Energy Efficient Routing Approaches in Wireless Sensor Network

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.16-4-2022.2318162,
    author={Jay Kumar Jain and Akhilesh A.  Waoo},
    title={An Analytical Study of Energy Efficient Routing Approaches in Wireless Sensor Network},
    proceedings={Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India},
    publisher={EAI},
    proceedings_a={THEETAS},
    year={2022},
    month={6},
    keywords={wireless sensor networks routing protocols performance analysis classification},
    doi={10.4108/eai.16-4-2022.2318162}
}

Jay Kumar Jain
Akhilesh A. Waoo
Year: 2022
An Analytical Study of Energy Efficient Routing Approaches in Wireless Sensor Network
THEETAS
EAI
DOI: 10.4108/eai.16-4-2022.2318162

Jay Kumar Jain¹^,*, Akhilesh A. Waoo¹

1: Department of Computer Science and Engineering, AKS University, Satna, Madhya Pradesh, India

*Contact email: jayjain.research@gmail.com

Abstract

This article discusses energy-efficient routing approaches in wireless sensor networks (WSNs). This follows characterization and exploration with another proposed scientific classification recognizing certain classes of protocols as specific: delay-based routing and power efficiency, next-hop selection, network architecture, link initiators, network topology, protocol operation, delivery. mode, installation path, and application type. We analyze these classes, discuss representative routing protocols (mechanisms, advantages, disadvantages..) and compare them based on various parameters within the respective class.

Keywords: wireless sensor networks routing protocols performance analysis classification

Published: 2022-06-08
Publisher: EAI

: http://dx.doi.org/10.4108/eai.16-4-2022.2318162