53,989 research outputs found
Caching-Aided Collaborative D2D Operation for Predictive Data Dissemination in Industrial IoT
Industrial automation deployments constitute challenging environments where
moving IoT machines may produce high-definition video and other heavy sensor
data during surveying and inspection operations. Transporting massive contents
to the edge network infrastructure and then eventually to the remote human
operator requires reliable and high-rate radio links supported by intelligent
data caching and delivery mechanisms. In this work, we address the challenges
of contents dissemination in characteristic factory automation scenarios by
proposing to engage moving industrial machines as device-to-device (D2D)
caching helpers. With the goal to improve reliability of high-rate
millimeter-wave (mmWave) data connections, we introduce the alternative
contents dissemination modes and then construct a novel mobility-aware
methodology that helps develop predictive mode selection strategies based on
the anticipated radio link conditions. We also conduct a thorough system-level
evaluation of representative data dissemination strategies to confirm the
benefits of predictive solutions that employ D2D-enabled collaborative caching
at the wireless edge to lower contents delivery latency and improve data
acquisition reliability
Implementing a map based simulator for the location API for J2ME
The Java Location API for J2METM integrates generic positioning and orientation data with
persistent storage of landmark objects. It can be used to develop location based service
applications for small mobile devices, and these applications can be tested using simulation
environments. Currently the only simulation tools in the public domain are proprietary
mobile device simulators that are driven by GPS data log files, but it is sometimes useful to
be able to test location based services using interactive map-based tools. In addition, we
may need to experiment with extensions and changes to the standard API to support
additional services, requiring an open source environment. In this paper we describe the
implementation of an open source map-based simulation tool compatible with other
commonly used development and deployment tools
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