Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview

Abstract

Recent advances in sensor technology are expected to lead to a greater use of wireless sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) are becoming dominant solutions for processing large amounts of data from edge-synthesized heterogeneous sensors and drawing accurate conclusions with better understanding of the situation. Integration of the two areas WSN and AI has resulted in more accurate measurements, context-aware analysis and prediction useful for smart sensing applications. In this paper, a comprehensive overview of the latest developments in context-aware intelligent systems using sensor technology is provided. In addition, it also discusses the areas in which they are used, related challenges, motivations for adopting AI solutions, focusing on edge computing, i.e., sensor and AI techniques, along with analysis of existing research gaps. Another contribution of this study is the use of a semantic-aware approach to extract survey-relevant subjects. The latter specifically identifies eleven main research topics supported by the articles included in the work. These are analyzed from various angles to answer five main research questions. Finally, potential future research directions are also discussed.

Emerging Sensor Communication Network-Based AI/ML Driven Intelligent IoT

“…In [ 8 ], the authors define three highlighted contributions: first is the enhanced security with blockchain, along with PUFs and duel-gaming-based authentication; second is the ability to use a lightweight blockchain that is compatible with the physical layer, which is termed a branched blockchain, and further evolved to an HLF-oriented local blockchain at layer 2 and Ethereum-based global blockchain at layer 3; third is the ability to deal with physical cloning and side-channel attacks. In [ 9 ], the authors presented a comprehensive overview of the latest developments in context-aware intelligent systems using sensor technology. In addition, they discuss the areas in which they are used, related challenges, and motivations to adopt AI solutions, focusing on edge computing, i.e., sensor and AI techniques, along with an analysis of existing research gaps.…”