Open Access

ARTICLE

Improved Load-Balanced Clustering for Energy-Aware Routing (ILBC-EAR) in WSNs

D. Loganathan^1,*, M. Balasubramani¹, R. Sabitha², S. Karthik²
1 Department of Electronics and Communication Engineering, Info Institute of Engineering, Coimbatore, 641107, India
2 Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, 641035, India
* Corresponding Author: D. Loganathan. Email:

Computer Systems Science and Engineering 2023, 44(1), 99-112. https://doi.org/10.32604/csse.2023.023120

Received 28 August 2021; Accepted 07 December 2021; Issue published 01 June 2022

Abstract

Sensors are considered as important elements of electronic devices. In many applications and service, Wireless Sensor Networks (WSNs) are involved in significant data sharing that are delivered to the sink node in energy efficient manner using multi-hop communications. But, the major challenge in WSN is the nodes are having limited battery resources, it is important to monitor the consumption rate of energy is very much needed. However, reducing energy consumption can increase the network lifetime in effective manner. For that, clustering methods are widely used for optimizing the rate of energy consumption among the sensor nodes. In that concern, this paper involves in deriving a novel model called Improved Load-Balanced Clustering for Energy-Aware Routing (ILBC-EAR), which mainly concentrates on optimal energy utilization with load-balanced process among cluster heads and member nodes. For providing equal rate of energy consumption among nodes, the dimensions of framed clusters are measured. Moreover, the model develops a Finest Routing Scheme based on Load-Balanced Clustering to transmit the sensed information to the sink or base station. The evaluation results depict that the derived energy aware model attains higher rate of life time than other works and also achieves balanced energy rate among head node. Additionally, the model also provides higher throughput and minimal delay in delivering data packets.

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Keywords

Wireless sensor networks; energy consumption; load balanced clustering; finest routing

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