Fuzzy Systems and its Applications

Fuzzy Systems and its Applications

Energy-Aware Clustering with Fault Tolerance in Hierarchical Routing of Wireless Sensor Networks Based on Fuzzy Logic

Document Type : Original Article

Author
Department of Computer Engineering, Faculty of Engineering, University of Saravan,
10.22034/jfsa.2025.483311.1246
Abstract
Wireless Sensor Networks (WSNs) remain an active research area due to their extensive applications in environmental monitoring, military operations, healthcare, and event management. One of the primary challenges in these networks is extending their lifespan for long-term operations by optimizing energy consumption, as sensor nodes rely solely on internal batteries. Clustering, as an effective method for organizing a hierarchical topology and balancing the load, plays a key role in improving network longevity. However, optimizing clustering is an NP-hard problem, requiring intelligent algorithms. This paper presents a novel fault-tolerant hierarchical clustering technique based on fuzzy logic for WSNs. The proposed algorithm simultaneously optimizes cluster head (CH) selection and the routing of data to the destination, incorporating fault-tolerance mechanisms. By leveraging fuzzy logic and two critical parameters—distance to the sink and residual battery energy—the probability of nodes becoming CHs is calculated. Simulation results demonstrate that the proposed method outperforms the DCRRP protocol in terms of energy consumption, end-to-end delay, and throughput under various conditions, including both fault-free and faulty topologies.
Keywords
Subjects


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Volume 7, Issue 2 - Serial Number 15
Open Access Statement
December 2024
Pages 201-224

  • Receive Date 13 October 2024
  • Revise Date 06 December 2024
  • Accept Date 21 January 2025