Incomplete Information based Collaborative Computing in Emergency Communication Networks
Wang, Q, Zhu, Y and Wang, X (2020). Incomplete Information based Collaborative Computing in Emergency Communication Networks. IEEE Communications Letters.
|Authors||Wang, Q, Zhu, Y and Wang, X|
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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.
|Keywords||Collaborative computing, , ; Game theory; Incomplete information; Emergency communication networks|
|Journal||IEEE Communications Letters|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Digital Object Identifier (DOI)||doi:10.1109/LCOMM.2020.2995501|
|18 May 2020|
|Publication process dates|
|Accepted||14 May 2020|
|Deposited||23 May 2020|
|Accepted author manuscript|
CC BY 4.0
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