Energy-Efficient Algorithms for Large-Scale Wireless Sensor Networks

Dear Colleagues,

Wireless sensor networks (WSNs) pose numerous practical and theoretical challenges that remain partially unexplored. Traditional techniques often fall short in addressing these issues efficiently and effectively due to several inherent limitations, including constrained energy and computational resources, unpredictable sensor failures, channel impairments, node mobility, untrusted or hostile deployment environments, and susceptibility to external attacks. These vulnerabilities make WSNs significantly more fragile compared to other wireless and wired networks. Designing energy-efficient algorithms and developing robust theoretical frameworks for large-scale WSNs remains a major challenge, particularly when aiming to minimize energy consumption without compromising performance. For example, artificial intelligence (AI) algorithms have emerged as promising solutions for overcoming these difficulties and enhancing the scalability, resilience, and efficiency of WSNs. However, many algorithmic and theoretical issues specific to large-scale WSNs have yet to be fully addressed. Therefore, the main objective of this Special Issue is to foster a deeper understanding of innovative algorithms and theoretical advancements that support the development and optimization of large-scale WSNs.

Prof. Dr. Chang Wu Yu
Prof. Dr. Rei Heng Cheng
Guest Editors

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