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Time Dependent Performance Analysis of Wireless Networks

XU, KUNJIE (2014) Time Dependent Performance Analysis of Wireless Networks. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Many wireless networks are subject to frequent changes in a combination of network topology, traffic demand, and link capacity, such that nonstationary/transient conditions always exist in packet-level network behavior. Although there are extensive studies on the steady-state performance of wireless networks, little work exists on the systematic study of their packet-level time varying behavior. However, it is increasingly noted that wireless networks must not only perform well in steady state, but must also have acceptable performance under nonstationary/transient conditions. Furthermore, numerous applications in today's wireless networks are very critical to the real-time performance of delay, packet delivery ratio, etc, such as safety applications in vehicular networks and military applications in mobile ad hoc networks. Thus, there exists a need for techniques to analyze the time dependent performance of wireless networks.

In this dissertation, we develop a performance modeling framework incorporating queuing and stochastic modeling techniques to efficiently evaluate packet-level time dependent performance of vehicular networks (single-hop) and mobile ad hoc networks (multi-hop). For vehicular networks, we consider the dynamic behavior of IEEE 802.11p MAC protocol due to node mobility and model the network hearability as a time varying adjacency matrix. For mobile ad hoc networks, we focus on the dynamic behavior of network layer performance due to rerouting and model the network connectivity as a time varying adjacency matrix. In both types of networks, node queues are modeled by the same fluid flow technique, which follows flow conservation principle to construct differential equations from a pointwise mapping of the steady-state queueing relationships. Numerical results confirm that fluid-flow based performance models are able to respond to the ongoing nonstationary/transient conditions of wireless networks promptly and accurately. Moreover, compared to the computation time of standard discrete event simulator, fluid-flow based model is shown to be a more scalable evaluation tool. In general, our proposed performance model can be used to explore network design alternatives or to get a quick estimate on the performance variation in response to some dynamic changes in network conditions.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorTipper, Davidtipper@tele.pitt.eduDTIPPER
Committee MemberKrishnamurthy, Prashantprashant@sis.pitt.eduPRASHK
Committee MemberZadorozhny, Vladimirvladimir@sis.pitt.eduVIZ
Committee MemberPelechrinis, Konstantinoskpele@pitt.eduKPELE
Committee MemberQian,
Date: 3 September 2014
Date Type: Publication
Defense Date: 20 June 2014
Approval Date: 3 September 2014
Submission Date: 17 August 2014
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 137
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: fluid flow model, vehicular networks, multihop wireless networks, IEEE 802.11, mobility, transient, nonstationary, queuing theory, time dependent performance
Date Deposited: 03 Sep 2014 20:08
Last Modified: 15 Nov 2016 14:23


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