Modeling of two-flow interactions under SINR model in Multi-hop Wireless Networks

Razak, Saquib; Abu-Ghazaleh, Nael; Kolar, Vinay

doi:10.1109/lcn.2008.4664183

Cited by 14 publications

(19 citation statements)

References 12 publications

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“…In contrast, in the current paper, the simpler model allows much cleaner derivation and closed form results. Finally, our work [11] showed that the benefits from using the SINR model are small and the two models are quite close; the additional complexity does not expose significantly different results. Thus, the simpler and cleaner two disc model presented in this paper is sufficient for most cases, and is probably more appropriate (because of complexity) for forming practical protocols.…”

Section: Related Workmentioning

confidence: 75%

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Modeling and analysis of two-flow interactions in wireless networks

2010

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Section: Related Workmentioning

confidence: 75%

“…We also develop and present throughput models for these five cases. In [11] we derive the interactions using the SINR model (whereas in this paper we derived them for the two disc model). The derivation and results are quite different: the SINR case is significantly more complicated, leading to more than 1 million individual cases.…”

Section: Related Workmentioning

confidence: 99%

Modeling and analysis of two-flow interactions in wireless networks

2010

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“…Given two source-destination pairs S1−D1 and S2−D2, there exist four secondary links: S1 − S2, S1 − D2, S2 − D1, and D1 − D2 that can interfer with each other. Although there can be a large number of combinations for these interactions [7,8], we discover that a limited number of these interactions are possible between links of chain. We summarize these interactions in Figure 1, and briefly describe each one.…”

Section: Link Interactionsmentioning

confidence: 93%

“…Razak et al have determined that, between any two links, there can be 10 different interference interaction possible [8]. For a three-hop chain only interactions i1 -i4 apply.…”

Section: Chain Interactionsmentioning

confidence: 99%

TCP over Multi-Hop Wireless Networks: The Impact of MAC Level Interactions

Majeed

Razak

Abu-Ghazaleh

et al. 2009

Ad-Hoc, Mobile and Wireless Networks

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Abstract. In Multi Hop Wireless Networks (MHWNs), nodes act both as end-hosts as well as intermediate routers. When communication occurs, these nodes form chains between different sources and destinations. Researchers have studied how these chains behave, discovering that MAC level interactions play a major role in determining their performance. In this paper, we extend this analysis to study how TCP connections, which involve bidirectional flows, behave over wireless chains. First, we break down and examine the types of chains that occur most frequently in TCP configurations and classify them by the nature of the MAC level interactions that arise in each. We then show that the throughput of TCP over a wireless chain is greatly affected by the type of interactions within the chain. Finally, we show the implications of the MAC level interactions on network performance: specifically, route instability and number of retransmissions.

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“…Second, it avoids the effects of MAC protocols such as retries and exponential back-off. The effect of MAC protocol can be predicted by using the existing MAC models with the measured PER data [16], [17].…”

Section: B Measurement Protocolmentioning

confidence: 99%

Measurement and Analysis of Link Quality in Wireless Networks: An Application Perspective

Kolar

Razak

Mähönen

et al. 2010

2010 INFOCOM IEEE Conference on Computer Communications Workshops

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Abstract-Estimating the quality of wireless link is vital to optimize several protocols and applications in wireless networks. In realistic wireless networks, link quality is generally predicted by measuring received signal strength and error rates. Understanding the temporal properties of these parameters is essential for the measured values to be representative, and for accurate prediction of performance of the system. In this paper, we analyze the received signal strength and error rates in an IEEE 802.11 indoor wireless mesh network, with special focus to understand its utility to measurement based protocols. We show that statistical distribution and memory properties vary across different links, but are predictable. Our experimental measurements also show that, due to the effect of fading, the packet error rates do not always monotonically decrease as the transmission rate is reduced. This has serious implications on many measurementbased protocols such as rate-adaptation algorithms. Finally, we describe real-time measurement framework that enables several applications on wireless testbed, and discuss the results from example applications that utilize measurement of signal strength and error rates.

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Modeling of two-flow interactions under SINR model in Multi-hop Wireless Networks

Cited by 14 publications

References 12 publications

Modeling and analysis of two-flow interactions in wireless networks

Modeling and analysis of two-flow interactions in wireless networks

TCP over Multi-Hop Wireless Networks: The Impact of MAC Level Interactions

Measurement and Analysis of Link Quality in Wireless Networks: An Application Perspective

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