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The University of Wollongong Faculty of Engineering and Information Sciences was formed in 2013 following an organisational restructure. It comprised an amalgamation of the former Faculty of Engineering and Faculty of Informatics. Related series:;;. Index Papers from 2018 2018, Yang-Wai Chow, Willy Susilo, Joseph Tonien, Elena Vlahu-Gjorgievska, and Guomin Yang, Dimitrios Christou, Marilena Mitrouli, and Jennifer Seberry, Joan Claramunt and Aidan Sims, Philip A. Commins, Brett McAulay, and Haiping Du, Paul Cooper, Federico Tartarini, and Richard Fleming, Noel A.
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Elhadi, Christina Ma, Wing K. Lam, and Winson Lee, Sean T. Elphick, Matthew Crawford, Sarath Perera, and Phil Ciufo, Elette Engels, Matt Westlake, Nan Li, Sarah Vogel, Quentin Gobert, Nathan Thorpe, Anatoly B. Rosenfeld, Michael L. F Lerch, Stephanie Corde, and Moeava Tehei, Alireza Fadavi Boostani, Siamak Yazdani, R Azari Khosroshahi, Zhengyi Jiang, and D Wei, Guoli Fang, Jia Liu, Xianghui Yan, Danyang Wang, Jahanzaib Israr, and Tong Xue, Jun Fang, Wenye Duan, Junfeng Liu, C Zhang, and Zhongshui Ma, Yanqin Fang and De Tang, Wenke Fan, Georgios Kokogiannakis, and Zhenjun Ma, Nabeel Farhan, M Neaz Sheikh, and Muhammad N. S Hadi, Nabeel Farhan, M Neaz Sheikh, and Muhammad N.
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Abstract Comparison studies on timer-based distributed cooperative retransmission protocols are challenging, given a variety of backoff techniques. We propose a new unified model, which can characterize a wide range of cooperative retransmission protocols. The key idea is a new trellis diagram that extrapolates the retransmission probabilities in each timeslot to the entire cooperative process. Following the trellis, performance metrics, such as success rate and collision intensity, can be derived in a structured manner.
The new trellis model, coupled with Markov techniques, can be also extended to analyze the distributed binary exponential backoff processes of cooperative retransmissions. Confirmed by simulations, the proposed trellis model accurately reveals the impact of the relays' relative locations and density on different protocols.
Our model also has the potential to be used as a management tool to adaptively configure protocol parameters.