Open Access

ARTICLE

Secure and Energy Concise Route Revamp Technique in Wireless Sensor Networks

S. M. Udhaya Sankar^1,*, Mary Subaja Christo², P. S. Uma Priyadarsini³

1 Department of Information Technology, Velammal Institute of Technology, Chennai, 601204, India
2 Department of Networking and Communication, SRM Institute of Science and Technology, Kattankulathur, 603203, India
3 Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 600124, India

* Corresponding Author: S. M. Udhaya Sankar. Email:

Intelligent Automation & Soft Computing 2023, 35(2), 2337-2351. https://doi.org/10.32604/iasc.2023.030278

Received 22 March 2022; Accepted 22 April 2022; Issue published 19 July 2022

Abstract

Energy conservation has become a significant consideration in wireless sensor networks (WSN). In the sensor network, the sensor nodes have internal batteries, and as a result, they expire after a certain period. As a result, expanding the life duration of sensing devices by improving data depletion in an effective and sustainable energy-efficient way remains a challenge. Also, the clustering strategy employs to enhance or extend the life cycle of WSNs. We identify the supervisory head node (SH) or cluster head (CH) in every grouping considered the feasible strategy for power-saving route discovery in the clustering model, which diminishes the communication overhead in the WSN. However, the critical issue was determining the best SH for ensuring timely communication services. Our secure and energy concise route revamp technology (SECRET) protocol involves selecting an energy-concise cluster head (ECH) and route revamping to optimize navigation. The sensors transmit information over the ECH, which delivers the information to the base station via the determined optimal path using our strategy for effective data transmission. We modeled our methods to accomplish power-efficient multi-hop routing. Furthermore, protected navigation helps to preserve energy when routing. The suggested solution improves energy savings, packet delivery ratio (PDR), route latency (RL), network lifetime (NL), and scalability.

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Keywords

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