2011
DOI: 10.1007/s11276-011-0372-5
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An analytical model of delay in multi-hop wireless ad hoc networks

Abstract: Several analytical models of different wireless networking schemes such as wireless LANs and meshes have been reported in the literature. To the best of our knowledge, all these models fail to address the accurate end-to-end delay analysis of multi-hop wireless networks under unsaturated traffic condition considering the hidden and exposed terminal situation. In an effort to gain deep understanding of delay, this paper firstly proposes a new analytical model to predict accurate media access delay by obtaining … Show more

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Cited by 33 publications
(21 citation statements)
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“…The authors have calculated the various probabilities and throughput performance of the system with saturated nodes by providing the Markov chain model for back‐off window size. In another work, a Markov chain model for single node using IEEE 802.11 has been presented by Ghadimi et al This model is established on Bianchi's work . The authors have measured end‐to‐end delay for multi‐hop wireless ad hoc networks by considering hidden and exposed terminal conditions under unsaturated traffic.…”
Section: Related Workmentioning
confidence: 99%
“…The authors have calculated the various probabilities and throughput performance of the system with saturated nodes by providing the Markov chain model for back‐off window size. In another work, a Markov chain model for single node using IEEE 802.11 has been presented by Ghadimi et al This model is established on Bianchi's work . The authors have measured end‐to‐end delay for multi‐hop wireless ad hoc networks by considering hidden and exposed terminal conditions under unsaturated traffic.…”
Section: Related Workmentioning
confidence: 99%
“…Thus each terminal always sends a packet when its backoff counter value becomes zero. To investigate the impact of the selection distribution on the medium access delay, we further assume that the payload size of each packet is fixed as in earlier works in the literature (Dai and Sun 2013;Felemban and Ekici 2011;Ghadimi et al 2011;Liu et al 2010).…”
Section: The Medium Access Delay Of the Rapmentioning
confidence: 99%
“…However, the recent proliferation of real-time applications such as voice over IP on WLANs has made delay and short-term fairness become more important performance metrics. Regarding the delay issue, most works have concentrated on the accurate modeling and analysis of the delay performance of the IEEE 802.11 DCF (Carvalho and Garcia-LunaAceves 2003;Chatzimisios et al 2003;Dai and Sun 2013;Engelstad and Osterbo 2006;Felemban and Ekici 2011;Foh et al 2007;Garetto and Chiasserini 2005;Ghadimi et al 2011;Kang et al 2007;Liu et al 2010;Sakurai and Vu 2007;Tadayon et al 2012;Tickoo and Sikdar 2008;Zanella and De Pellegrini 2005), but relatively few works have been done for its enhancement (Bi and Zhang 2012). On the other hand, regarding the fairness issue, works on theoretical analysis have been scarce due to complexity, and most of the previous works in the literature have used simulation to analyze the short-term fairness of the IEEE 802.11 DCF (Aad and Castelluccia 2001;Barrett et al 2002;Choi et al 2005;Heusse et al 2005;Kwon et al 2004;Nandagopal et al 2000;Qiao and Shin 2002;Vaidya et al 2005).…”
Section: Introductionmentioning
confidence: 99%
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“…We will discuss it in detail later. A model was proposed in [14] considering unsaturated traffic condition and hidden node effect, which presented a way to predict accurate delay. Here in this paper, we also consider the effect of unsaturated traffic and hidden node but focus on the consumed bandwidth.…”
mentioning
confidence: 99%