Artificial Intelligence-Based Algorithms in Wireless Sensor Networks
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2716
Special Issue Editor
Interests: theoretical and fundamental problems in wireless sensor networks; algorithms in wireless sensor networks; graph algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wireless sensor networks (WSNs) raise several practical and undiscovered algorithmic and mathematical issues, but traditional techniques are not sufficient to solve these problems. This is due to constrained energy and computation capability, nondeterministic sensor failures, channel impairments, node mobility, hostile and distrusted environments, and even external attackers of nodes in WSNs. In all these issues, WSNs exhibit substantial vulnerability when compared to other wireless and wired networks. It seems challenging to design robust and long-lived WSNs by devising novel algorithms or developing new theories whilst introducing minimal communication overhead and energy consumption. However, Artificial Intelligence (AI) seems to be a very effective technology that can be used to solve the problems faced by WSNs. Usually, there are three major categories of AI algorithms: supervised learning, unsupervised learning, and reinforcement learning. Under those categories, there are dozens of different algorithms. We believe that these AI-based algorithmic and theoretical issues in WSNs have not been fully explored. As a result, the main focus of this Special Issue strives for a deeper understanding of AI-based algorithms and theories which are developed to build up WSNs.
Prof. Dr. Chang Wu Yu
Guest Editor
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Keywords
- wireless sensor networks
- AI-based algorithms including machine learning, genetic algorithms, clustering, decision trees, support vector machines, k-nearest neighbor, neural networks, fuzzy theory for wireless sensor networks
- AI-based data structures for wireless sensor networks
- AI-based protocols for wireless sensor networks
- AI-based mathematic models for wireless sensor networks
- AI-based optimization problems for wireless sensor networks
- AI-based performance evaluation for wireless sensor networks
- AI-based system design for wireless sensor networks
- AI-based simulation tools for wireless sensor networks
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