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 o... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/LWC.2018.2792023 | IEEE Wireless Communications Letters |
Keywords | Field | DocType |
Manganese,Mathematical model,Dynamic programming,Markov processes,Reliability,Electronic mail | Radar,Dynamic programming,Mathematical optimization,Markov process,Markov chain,Expected value,Information Dissemination,State-transition equation,Mathematics | Journal |
Volume | Issue | ISSN |
7 | 4 | 2162-2337 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daxin Tian | 1 | 204 | 32.49 |
Ziyi Dai | 2 | 0 | 0.34 |
Jianshan Zhou | 3 | 129 | 13.66 |
Xuting Duan | 4 | 26 | 4.92 |
Zhengguo Sheng | 5 | 446 | 40.43 |
Min Chen | 6 | 2369 | 142.44 |
Qiang Ni | 7 | 343 | 38.49 |
Victor C. M. Leung | 8 | 9717 | 759.02 |