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Mobility-Aware Application Placement for Obstacle Detection in UAM Using Fog Computing

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Evolution in Computational Intelligence

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 267))

Abstract

Urban air mobility (UAM), defined as safe and efficient air traffic operations in a metropolitan area for manned aircraft and unmanned aircraft systems, is one of the major research areas for enabling seamless transport and communication. UAM is one of the emerging transportation technologies considering the traffic congestion faced in most of the cities. Internet of Things, being a platform for connected things, can aid in addressing the challenges faced by the UAM industry. The scope of this work is to provide high-level details on the challenges posed to UAM. This paper proposes an infrastructure for UAM vehicles (UAV) to use the fog computing layer, allowing the UAM vehicles to have a smoother flight in the air with automated obstacle detection, thereby reducing the risks of accidents.

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Authors and Affiliations

  1. Thiagarajar College of Engineering, Department of Information Technology, Madurai, India

    D. Malarvizhi & S. Padmavathi

Authors
  1. D. Malarvizhi
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  2. S. Padmavathi
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. College of Computing, Michigan Technological University, Michigan, MI, USA

    Jinshan Tang

  3. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India

    Suresh Chandra Satapathy

  4. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Peter Peer

  5. Department of Computer Science and Engineering, National Institute of Technology (NIT) Mizoram, Aizawl, India

    Ranjita Das

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Malarvizhi, D., Padmavathi, S. (2022). Mobility-Aware Application Placement for Obstacle Detection in UAM Using Fog Computing. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_18

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