Optimal Epidemic Information Dissemination in Uncertain Dynamic Environment

Tian, Daxin and Dai, Ziyi and Zhou, Jianshan and Duan, Xuting and Sheng, Zhengguo and Chen, Min and Ni, Qiang and Leung, Victor C.m. (2018) Optimal Epidemic Information Dissemination in Uncertain Dynamic Environment. IEEE Wireless Communications Letters, 7 (4). pp. 518-521. ISSN 2162-2337

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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.

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Journal Article
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IEEE Wireless Communications Letters
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09 Apr 2018 08:14
Last Modified:
10 Jan 2024 00:24