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Download fileOptimal epidemic information dissemination in uncertain dynamic environment
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 LeungOptimization 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 LettersISSN
2162-2337Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
4Volume
7Page range
518-521Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Sensor Technology Research Centre Publications
Full text available
- Yes
Peer reviewed?
- Yes