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Article

An IoT-Based Participatory Antitheft System for Public Safety Enhancement in Smart Cities

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IT Solutions Applications and R&D Division, Space Hellas, 312 Messogion Ave., GR-15341 Athens, Greece
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Intralot S.A., 64 Kifissias Ave & 3 Ch. Sambag—S. Chouri Str., GR-15125 Athens, Greece
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Department of Electrical and Electronic Engineering, Faculty of Engineering, University of West Attica, Thivon Av. 250, GR-12241 Athens, Greece
*
Author to whom correspondence should be addressed.
Academic Editor: Pierluigi Siano
Received: 31 March 2021 / Revised: 21 May 2021 / Accepted: 21 May 2021 / Published: 11 June 2021
(This article belongs to the Special Issue Feature Papers for Smart Cities)
The risk of theft of goods is certainly an important source of negative influence in human psychology. This article focuses on the development of a scheme that, despite its low cost, acts as a smart antitheft system that achieves small property detection. Specifically, an Internet of Things (IoT)-based participatory platform was developed in order to allow asset-tracking tasks to be crowd-sourced to a community. Stolen objects are traced by using a prototype Bluetooth Low Energy (BLE)-based system, which sends signals, thus becoming a beacon. Once such an item (e.g., a bicycle) is stolen, the owner informs the authorities, which, in turn, broadcast an alert signal to activate the BLE sensor. To trace the asset with the antitheft tag, participants use their GPS-enabled smart phones to scan BLE tags through a specific smartphone client application and report the location of the asset to an operation center so that owners can locate their assets. A stolen item tracking simulator was created to support and optimize the aforementioned tracking process and to produce the best possible outcome, evaluating the impact of different parameters and strategies regarding the selection of how many and which users to activate when searching for a stolen item within a given area. View Full-Text
Keywords: IoT; smart cities; public safety; social welfare and innovation; antitheft systems; Bluetooth Low Energy IoT; smart cities; public safety; social welfare and innovation; antitheft systems; Bluetooth Low Energy
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MDPI and ACS Style

Papadakis, N.; Koukoulas, N.; Christakis, I.; Stavrakas, I.; Kandris, D. An IoT-Based Participatory Antitheft System for Public Safety Enhancement in Smart Cities. Smart Cities 2021, 4, 919-937. https://0-doi-org.brum.beds.ac.uk/10.3390/smartcities4020047

AMA Style

Papadakis N, Koukoulas N, Christakis I, Stavrakas I, Kandris D. An IoT-Based Participatory Antitheft System for Public Safety Enhancement in Smart Cities. Smart Cities. 2021; 4(2):919-937. https://0-doi-org.brum.beds.ac.uk/10.3390/smartcities4020047

Chicago/Turabian Style

Papadakis, Nikos, Nikos Koukoulas, Ioannis Christakis, Ilias Stavrakas, and Dionisis Kandris. 2021. "An IoT-Based Participatory Antitheft System for Public Safety Enhancement in Smart Cities" Smart Cities 4, no. 2: 919-937. https://0-doi-org.brum.beds.ac.uk/10.3390/smartcities4020047

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