Open AccessMarkov decision‐based optimisation on bundle size for satellite disruption/delay‐tolerant network links
Author(s) -
Li Yue,
Wang Ye,
Yuan Peng,
Yang Zhihua
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.1089
Subject(s) - bundle , computer science , latency (audio) , markov chain , channel (broadcasting) , markov process , markov model , satellite , node (physics) , propagation delay , computer network , hop (telecommunications) , real time computing , telecommunications , mathematics , statistics , engineering , materials science , structural engineering , machine learning , composite material , aerospace engineering
In a satellite disruption/delay‐tolerant network, bundle delivery is obviously affected by time‐varying parameters, i.e. bit error rate and propagation latency, due to constantly changing distance and connectivity between paired orbital nodes. The authors proposed a Markov decision‐based optimisation approach for bundle size, which could efficiently improve the expected time of delivery over a dynamic two‐hop inter‐satellite link. In particular, a group of optimal bundle sizes are adaptively selected according to current distance‐dependent channel parameters, leading to a full utilisation on intermediate node's memory. The simulation results verified the proposed method under different conditions with comparison.