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The sensable city: A survey on the deployment and management for smart city monitoring
Department of Network and Systems Engineering, KTH Royal Institute of Technology, Stockholm, 10044, Sweden.
MIT Senseable City Laboratory, Cambridge, MA 02139 USA and also with the Istituto di Informatica e Telematica del CNR, 56124 Pisa, Italy.
Department of Information Science and Engineering, KTH Royal Institute of Technology, Stockholm, 10044, Sweden..
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
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2019 (English)In: IEEE Communications Surveys and Tutorials, ISSN 1553-877X, E-ISSN 1553-877X, Vol. 21, no 2, p. 1533-1560Article in journal (Refereed) Published
Abstract [en]

In last two decades, various monitoring systems have been designed and deployed in urban environments, toward the realization of the so called smart cities. Such systems are based on both dedicated sensor nodes, and ubiquitous but not dedicated devices such as smart phones and vehicles’ sensors. When we design sensor network monitoring systems for smart cities, we have two essential problems: node deployment and sensing management. These design problems are challenging, due to large urban areas to monitor, constrained locations for deployments, and heterogeneous type of sensing devices. There is a vast body of literature from different disciplines that have addressed these challenges. However, we do not have yet a comprehensive understanding and sound design guidelines. This article addresses such a research gap and provides an overview of the theoretical problems we face, and what possible approaches we may use to solve these problems. Specifically, this paper focuses on the problems on both the deployment of the devices (which is the system design/configuration part) and the sensing management of the devices (which is the system running part). We also discuss how to choose the existing algorithms in different type of monitoring applications in smart cities, such as structural health monitoring, water pipeline networks, traffic monitoring. We finally discuss future research opportunities and open challenges for smart city monitoring.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 21, no 2, p. 1533-1560
Keywords [en]
Smart city, wireless sensor network (WSN), Internet of Things (IoT), resource allocation, node deployment, crowd sensing, pervasive sensing
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-71596DOI: 10.1109/COMST.2018.2881008ISI: 000470838000020OAI: oai:DiVA.org:ltu-71596DiVA, id: diva2:1263443
Note

Validerad;2019;Nivå 2;2019-07-01 (johcin)

Available from: 2018-11-15 Created: 2018-11-15 Last updated: 2019-07-01Bibliographically approved

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Vasilakos, Athanasios

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