A Comprehensive Survey of Distributed Consensus Algorithms for Wireless Sensor Networks
DOI:
https://doi.org/10.32628/CSEIT2612111Keywords:
Wireless Sensor Networks, Distributed Consensus, Average Consensus, Binary Consensus, Energy Efficiency, Fault ToleranceAbstract
Distributed consensus represents a vital approach in Wireless Sensor Networks. By sharing local data, it allows a group of resource-constrained sensor nodes to collaborate and agree on a common value or decision. Consensus methods improve scalability, reliability, and energy efficiency by eliminating the need for centralized data processing systems. This research provides an in-depth review of distributed consensus approaches in WSNs. We examine traditional average and binary consensus algorithms, cluster-based and topology-aware methods, energy efficient solutions, and secure consensus protocols. Architectural frameworks, performance metrics, and an extensive comparative analysis are also presented. Based on convergence, communication costs, fault tolerance and application, a summary table contrasts important algorithms. The survey highlights significant areas where research is lacking and proposes future pathways, underlining the necessity of creating flexible, secure, and effective consensus solutions for next-generation wireless sensor networks (WSNs).
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