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Published July 22, 2019 | Version v1
Conference paper Open

Adaptive multi-model monitoring of recurrent mobility patterns

Authors/Creators

  • 1. Department of Electronic and Electrical Engineering, Imperial College London
  • 2. KIOS Research and Innovation Center of Excellence, University of Cyprus

Description

Multi-model event-triggering is a highly promising technique for efficient monitoring of processes where instead of continuous or even periodic triggering of events, communication and control is only applied after some event interrupt. In this work we investigate an adaptive multi-model monitoring technique whereby a local host that switches between the observed models informs remote hosts of these events which in turn adapt their predictions to reduce prediction error and minimize unnecessary triggering events and future model switching, thereby reducing energy consumption and communication bandwidth. The adaptive technique is examined under a real public transport bus service scenario, where local and remote hosts use a set of mobility models to track travel times and update their arrival schedules according to detected deviations, i.e., event interrupts.

Notes

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. L. Papachristoforou, P. Kolios, C. Panayiotou and G. Ellinas, "Adaptive multi-model monitoring of recurrent mobility patterns," 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick, Ireland, 2019, pp. 876-881. doi: 10.1109/WF-IoT.2019.8767273 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8767273&isnumber=8767167 This work received funds from the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.

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Additional details

Funding

European Commission
KIOS CoE - KIOS Research and Innovation Centre of Excellence 739551