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;
2019-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.