Optimal epidemic information dissemination in uncertain dynamic environment

Tian, Daxin, Dai, Ziyi, Zhou, Jianshan, Sheng, Zhengguo, Chen, Min, Qiang, Ni and Leung, Victor (2018) Optimal epidemic information dissemination in uncertain dynamic environment. IEEE Wireless Communications Letters. ISSN 2162-2337 (Accepted)

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Abstract

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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Sensor Technology Research Centre
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television
Depositing User: Zhengguo Sheng
Date Deposited: 09 Jan 2018 13:56
Last Modified: 09 Jan 2018 13:56
URI: http://sro.sussex.ac.uk/id/eprint/72689

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Bionic communications and networking for connected vehiclesG2114ROYAL SOCIETYIE160920