Evolutionary Optimization of Dominating Set-Based Virtual Backbone Cluster Scheduling for Enhancing Energy Efficiency in Asymmetric Radio WSNs

Authors

  • Venkateswarlu Mannepally Professor, Department of ECE, Aditya College of Engineering, Surampalem, Kakinada, Andhra Pradesh, India, Pincode: 533437.
  • Banitamani Mallik Professor of Mathematics, School of Applied Sciences, Centurion University of Technology and Management, Gajapati, Odisha, India, Pincode: 761211.
  • K. Anuradha Research Scholar, Department of CSE, Centurion University of Technology and Management, Gajapati, Odisha, India, Pincode: 761211
  • Pratiksha G. Patil Assistant Professor, Department of Electronics and Telecommunication, Sinhgad Academy of Engineering, Sinhgad Kondhwa, Danny Mehata Nagar, Kondhwa, Pune, Maharashtra, India, Pincode: 411048.
  • D. Kavitha Associate Professor, Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai , Tamilnadu, India, Pincode: 602105
  • Srinivasa Rao Dhanikonda Associate Professor, Department of IT, BVRIT HYDERABAD College of Engineering for Women, Hyderabad, Telangana, India, Pincode: 500090.

Keywords:

Sensor node, energy consumption, routing, overhead, optimization, mutation, backbone

Abstract

Wireless Sensor Networks (WSNs) are becoming essential for many uses, such as industrial automation and environmental monitoring. To extend the network's lifespan, energy efficiency is critical. Asymmetric radio WSNs pose a special difficulty in energy consumption optimization since nodes in these networks have different transmission capacities. This study presents a unique method for improving energy efficiency in asymmetric radio WSNs using Genetic Algorithm-based Dominating Set-Based Virtual Backbone Cluster Scheduling (GADS-VBCS). By dividing the network into clusters using the idea of virtual backbones, the proposed GADS-VBCS method efficiently lowers communication overhead. The programme considers the asymmetry in radio ranges and effectively plans the activation of clusters based on a dominating group of nodes using evolutionary algorithms. This scheduling ensures network coverage and connectivity while optimizing energy consumption. To assess GADS-VBCS's performance, comprehensive simulations across several situations are carried out and compared with current methodologies. The findings show that, especially in asymmetric radio WSNs, GADS-VBCS performs better than traditional scheduling methods regarding energy efficiency, network overhead, network lifetime, and packet delivery ratio. This work provides a useful tool for real-world deployments in resource-constrained contexts by solving energy efficiency issues in asymmetric radio WSNs.

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Published

23.02.2024

How to Cite

Mannepally, V. ., Mallik, B. ., Anuradha, K. ., G. Patil, P. ., Kavitha, D. ., & Dhanikonda, S. R. . (2024). Evolutionary Optimization of Dominating Set-Based Virtual Backbone Cluster Scheduling for Enhancing Energy Efficiency in Asymmetric Radio WSNs. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 393–403. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4886

Issue

Vol. 12 No. 17s (2024)

Section

Research Article

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