Location based services play a key role in creating fully automated and adaptive systems that support Supply Chain Management and complex inter-modal logistics. IoT technology allows companies to part from statistical analysis in favour of proactive management by leveraging data collected in real time from the goods and processes that sustain their business. This paper describes a real world implementation of proactive location-based services suitable for application scenarios with strong time constraints, such as real-time systems, called Proactive Fast and Low Resource Geofencing Algorithm within a centralized, thin-client IoT system.

An Adaptive Algorithm for Geofencing

Carchiolo, Vincenza;Malgeri, Michele;
2019

Abstract

Location based services play a key role in creating fully automated and adaptive systems that support Supply Chain Management and complex inter-modal logistics. IoT technology allows companies to part from statistical analysis in favour of proactive management by leveraging data collected in real time from the goods and processes that sustain their business. This paper describes a real world implementation of proactive location-based services suitable for application scenarios with strong time constraints, such as real-time systems, called Proactive Fast and Low Resource Geofencing Algorithm within a centralized, thin-client IoT system.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11769/417379
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