Smart City Gnosys

Smart city article details

Title Delivering Iot Smart Services Through Collective Awareness, Mobile Crowdsensing And Open Data
ID_Doc 18223
Authors Montori F.; Bedogni L.; Iselli G.; Bononi L.
Year 2020
Published 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
DOI http://dx.doi.org/10.1109/PerComWorkshops48775.2020.9156158
Abstract IoT is spreading heavily in many use cases that surround our everyday life; however, existing IoT ecosystems are still behaving as close islands with little interoperability with each other. Recent research efforts tend to propose new architectures and standards to which private customers and companies producing data are supposed to adhere in order to make them consistent. However, such entities have their own vested interests that hinder data integration. We instead leverage information acquisition through Collective Awareness Paradigms (CAPs) such as Open Data and Mobile Crowdsensing (MCS) in order to use what is already available. As a proof of concept, we developed SenSquare, a prototype IoT architecture and platform for Smart Cities and environmental monitoring that gathers raw data through CAPs, adapts it to a common semantic and composes customizable flexible services. Inexperienced users can generate their own services using an easy visual programming plugin designed around a customized language. Furthermore, we test the platform on a real world use case. © 2020 IEEE.
Author Keywords IoT; Mobile Crowdsensing; Open Data; SOA


Similar Articles


Id Similarity Authors Title Published
55676 View0.908Husein S.; Mudhafar D.; Balaji B.S.The Impact Of A Collaborative Iot Framework For Smart Cities And Environmental MonitoringInternational Journal of Interactive Mobile Technologies, 17, 11 (2023)
33961 View0.861Middya A.I.; Dey P.; Roy S.Iot-Based Crowdsensing For Smart EnvironmentsEAI/Springer Innovations in Communication and Computing (2023)
4834 View0.857Anis M.M.; Suarez L.; Farooq F.; Amjad Z.A Socially Inspired Smartphone Resource Sharing Scheme For Internet Of Things In Smart Cities5th IEEE International Smart Cities Conference, ISC2 2019 (2019)
13791 View0.856Alsaig, A; Alagar, V; Chammaa, Z; Shiri, NCharacterization And Efficient Management Of Big Data In Iot-Driven Smart City DevelopmentSENSORS, 19, 11 (2019)
32014 View0.856Bruneo, D; Longo, F; Merlino, G; Puliafito, A; Kushwaha, NIntegrating Iot And Cloud In A Smart City Context: The #Smartme Case StudyINTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 57, 4 (2018)
12292 View0.855Javed, A; Kubler, S; Malhi, A; Nurminen, A; Robert, J; Främling, KBiotope: Building An Iot Open Innovation Ecosystem For Smart CitiesIEEE ACCESS, 8 (2020)
11008 View0.855Cirillo F.; Straeten D.; Gomez D.; Gato J.; Diez L.; Maestro I.E.; Akhavan R.Atomic Services: Sustainable Ecosystem Of Smart City Services Through Pan-European CollaborationGlobal IoT Summit, GIoTS 2019 - Proceedings (2019)
16743 View0.855Neiat A.G.; Bouguettaya A.Crowdsourcing Of Sensor Cloud ServicesCrowdsourcing of Sensor Cloud Services (2018)
16713 View0.855Alvear O.; Calafate C.T.; Cano J.-C.; Manzoni P.Crowdsensing In Smart Cities: Overview, Platforms, And Environment Sensing IssuesSensors (Switzerland), 18, 2 (2018)
46577 View0.854Miranda R.; Alves C.; Sousa R.; Chaves A.; Montenegro L.; Peixoto H.; Durães D.; Machado R.; Abelha A.; Novais P.; Machado J.Revolutionising The Quality Of Life: The Role Of Real-Time Sensing In Smart CitiesElectronics (Switzerland), 13, 3 (2024)