Next Generation of Multi-Agent Driven Smart City Applications and Research Paradigms

Abstract

Smart City has seen a growing interest among government, researchers, and industrialists. Smart cities use digital technologies to enhance the quality of life for residents while promoting sustainability and efficient resource management. By integrating various technologies such as ICT, AI, and IoT, smart cities can improve the delivery of public services, optimize transportation systems, reduce energy consumption, and enhance public safety, among other benefits. The goal of smart cities is to create a more livable, efficient, and sustainable urban environment for residents, businesses, and visitors. The smart city focuses on automating different disciplines, including smart environment, smart home, smart economy, smart mobility, and, smart governance. Due to that Multi-Agent driven Smart city has received tremendous attention from the research community to get an intelligent solution to complex problems from different disciplines by subdividing responsibilities into multiple agents and empowering agents through AI. In this regard, it is vital to explore the usage of Multi-Agent in different critical application areas of smart cities to achieve an end-to-end intelligent urban area. In this paper, a detailed description of the Multi-Agent process for Smart city application areas is provided along with resources and future research directions. Four different application areas-Smart Home, Smart Governance, Smart Environment, and Smart Mobility are discussed in detail.

Predictive Maintenance for IoT-Enabled Smart Cities using Recurrent Neural Networks

“…Talebkhah et al[3] present a comprehensive review of Smart City development using Industry 4.0 technologies, emphasizing the role of Internet of Things (IoT), Big Data, and cloud computing. Their research sheds light on the architectural aspects and implementation challenges of Smart Cities.Arora et al[4] delve into the next generation of multi-agentdriven Smart City applications and research paradigms, showcasing the integration of artificial intelligence, IoT, and big data in shaping the future of smart governance, smart environments, and smart mobility.Bokhari and Myeong[5] investigate the impact of AI applications on smart decision-making within Smart Cities, highlighting the mediating effect of IoT and smart governance. Their research delves into the intricate relationships that underpin decision-making processes in urban contexts.Wu et al[6] introduce an IoT Cloud-Edge reconfigurable mixed-signal smart meter platform for arc fault detection.…”