Recent advances in blockchain technology suggest that the technology has potential for use
in applications in a variety of new domains including spatio-temporal data management. The …

Owing to the attractive properties of decentralization, unforgeability, transparency, and
traceability, blockchain is increasingly being used in various scenarios such as supply chain …

The application of the Internet of Medical Things (IoMT) in medical systems has brought
much ease in discharging healthcare services by medical practitioners. However, the …

Abstract k nearest neighbor (k NN) queries are frequently used in location-based services
(LBSs), by which we wish to get k closest points of interest (POIs) given a certain point. Since …

Fuzzy spatiotemporal data models have been used to support spatial and temporal
knowledge representation and reasoning in the presence of fuzziness. In the meantime …

State-of-the-art location-based services (LBSs) involve data owners, requesting clients, and
service providers. As LBSs become new business opportunities, there is an increasing …

Recent years have witnessed a growing number of location-based service providers
(LBSPs) outsourcing their points of interest (POI) datasets to third-party cloud service …

Since an increasing number of applications have urgent requirements for the management
of fuzzy spatiotemporal information, it is challenging to model fuzzy spatiotemporal data. On …

Recent interest in blockchain technology has spurred on a host of new applications in a
variety of domains including spatio-temporal data management. The reliability and …

Outsourcing spatial databases to the cloud provides an economical and flexible way for data
owners to deliver spatial data to users of location-based services. However, in the database …