Incomplete Information based Collaborative Computing in Emergency Communication Networks

Journal article


Wang, Q, Zhu, Y and Wang, X (2020). Incomplete Information based Collaborative Computing in Emergency Communication Networks. IEEE Communications Letters.
AuthorsWang, Q, Zhu, Y and Wang, X
Abstract

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Due to the urgent and unpredictable nature of disaster relief, emergency management systems (EMS) faces an enormous challenge of real-time data analysis without the complete information from emergency communication networks (ECNs). In this letter, we propose an incomplete information based twotier game model (IITG) to realize collaborative computing at the edge of ECNs, which incentivizes idle computing devices (ICDs) to share computation resources through maximizing utilities of EMS and ICDs. Furthermore, we develop a near-optimal IITG algorithm (N-IITG) to seek the unique Bayesian Nash equilibrium. Simulation results reveal that N-IITG outperforms the existing incomplete information based methods in terms of computation latency and participants utilities.

KeywordsCollaborative computing, , ; Game theory; Incomplete information; Emergency communication networks
Year2020
JournalIEEE Communications Letters
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN1089-7798
Digital Object Identifier (DOI)doi:10.1109/LCOMM.2020.2995501
Publication dates
Print18 May 2020
Publication process dates
Accepted14 May 2020
Deposited23 May 2020
Accepted author manuscript
License
CC BY 4.0
File Access Level
Open
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