IoT Meets Opportunities and Challenges: Edge Computing in Deep Urban Environment

M. Chinnici, S. De Vito
Data pubblicazione
Dependable IoT for Human and Industry, River Publishers, Dec. 2018. ISBN: 978-87-7022-014-9 (Hardback), 978-87-7022-013-2 (Ebook).
Chapter 11 IoT Meets Opportunities and Challenges: Edge Computing in Deep Urban Environment, pp.241-272

nternet of Things (IoT) is a novel proposed paradigm as a roadmap to address the critical trends concerning the smart environment in the foreseeable future. The vision of IoT environment based on smart “things” represents an essential strategy for the progress on challenges related to the urban context: system architecture, design and development, and human involvement. On the other hand, with the introduction of IoT paradigm in the urban environment, it is witnessing an explosive proliferation of endpoints, and consequently, a continuous flow of the heterogeneous data produced by various applications. In this view, the cloud computing paradigm presents, de facto, several limitations (e.g., high transmission latency), and therefore, a new computing paradigm called edge computing (a.k.a. fog computing) in the era of IoT could be the candidate for a new architecture model in the urban environment. This chapter explores advantages of edge computing architecture in the urban environment and proposes a hierarchical distributed structure that extends from the edge of the network to the core. Moreover, a novel proposal of smart city concept, called “deep urban environment” is introduced. In this context, the authors imagine a city based on the new dimension achieved through IoT, which adds to Big Data and data analytics through a massively distributed number of sources at the edge. Eventually, pervasive urban air quality monitoring is analyzed as an application scenario that can significantly benefit from the implementation of this concept. In particular, on-board (edge implementation) calibration algorithms are proposed.