Fengrui Shi: Game Theoretic and Auction-based Algorithms Towards Opportunistic Edge-Processing in LPWA LoRa Networks: WF-IoT 2016

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Fengrui Shi, from the Department of Computing at Imperial College London, speaks about Low Power Wide Area Networks (LPWAN), such as LoRa, and using game theory and auction-based algorithms for the varying application demands in IoT systems for smart cities. Shi reviews data retrieval, LoRa box design, and the results to applying game theory.

Learn more about WF IoT 2016 at: http://wfiot2016.ieee-wf-iot.org/

Fengrui Shi, from the Department of Computing at Imperial College London, speaks about Low Power Wide Area Networks (LPWAN), such as LoRa, and using game theory and auction-based algorithms for the varying application demands in IoT systems for smart cities.

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