Challenges in human centric intelligent systems for wireless sensor networks: A state of art

• Published in: Transactions on emerging telecommunications technologies Vol. 35; no. 4
• Main Authors: Alferaidi, Ali, Yadav, Kusum, Alharbi, Yasser, Alshudukhi, Jalawi Sulaiman, Alreshidi, Abdulrahman, Alreshidi, Eissa Jaber, Kachout, Mnaouer, Sharif, Md Haidar
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.04.2024
• ISSN: 2161-3915; 2161-3915
• DOI: 10.1002/ett.4850

Human centric computing is a technique that is gaining more attention nowadays and integrates innovative processing methods for analyzing extensive data collection. Human centric intelligent systems focus on handling the interactions between customers, companies, communities and systems of computing to represent social and institutional concepts effectively. However, this interaction between the companies and customers will lead to various privacy challenges in human centric intelligent systems. This paper briefly studies cyber‐physical systems and various privacy challenges in human centric intelligent systems. In parallel, this article enunciates the human‐centric pipe water monitoring system framework in detail. It also discusses the smart body area network (SBAN) as a typical example of space cooperation. SBAN employs low‐power wireless devices in a compact form that can be incorporated inside the human body for health monitoring. This study examines the challenges of privacy, propagation, and trust assessment that human‐centric systems face. This paper briefly studies cyber‐physical systems and various privacy challenges in human centric intelligent systems. In parallel, this paper enunciates the human‐centric pipe water monitoring system framework in detail. It also discusses smart body area network (SBAN) as a typical example of space cooperation. Finally, the study examines the challenges of privacy, propagation, and trust assessment that human‐centric systems face.