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.
Montori F., Bedogni L., Iselli G., Bononi L. (2020). Delivering IoT Smart Services through Collective Awareness, Mobile Crowdsensing and Open Data. Institute of Electrical and Electronics Engineers Inc. [10.1109/PerComWorkshops48775.2020.9156158].
Delivering IoT Smart Services through Collective Awareness, Mobile Crowdsensing and Open Data
Montori F.;Bedogni L.;Bononi L.
2020
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.