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Optimal epidemic information dissemination in uncertain dynamic environment

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journal contribution
posted on 2023-06-09, 09:40 authored by Daxin Tian, Ziyi Dai, Jianshan Zhou, Xuting Duan, Zhengguo ShengZhengguo Sheng, Min Chen, Ni Qiang, Victor C M Leung
Optimization of stochastic epidemic information dissemination plays a significant role in enhancing the reliability of epidemic networks. This letter proposes a multi-stage decision making optimization model for stochastic epidemic information dissemination based on dynamic programming, in which uncertainties in a dynamic environment are taken into account. We model the inherent bimodal dynamics of general epidemic mechanisms as a Markov chain, and a state transition equation is proposed based on this Markov chain. We further derive optimal policies and a theoretical closed-form expression for the maximal expected number of successfully delivered messages. The properties of the derived model are theoretically analyzed. Simulation results show an improvement in reliability, in terms of accumulative number of successfully delivered messages, of epidemic information dissemination in stochastic situations.

Funding

Bionic communications and networking for connected vehicles; G2114; ROYAL SOCIETY; IE160920

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE Wireless Communications Letters

ISSN

2162-2337

Publisher

Institute of Electrical and Electronics Engineers

Issue

4

Volume

7

Page range

518-521

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Sensor Technology Research Centre Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-01-09

First Open Access (FOA) Date

2018-04-16

First Compliant Deposit (FCD) Date

2018-01-09

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