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An efficient hybrid model and dynamic performance analysis for multihop wireless networks

Xu, K and Tipper, D and Krishnamurthy, P and Qian, Y (2013) An efficient hybrid model and dynamic performance analysis for multihop wireless networks. 2013 International Conference on Computing, Networking and Communications, ICNC 2013. 1090 - 1096.

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Abstract

Multihop wireless networks can be subjected to nonstationary phenomena due to a dynamic network topology and time varying traffic. However, the simulation techniques used to study multihop wireless networks focus on the steady-state performance even though transient or nonstationary periods will often occur. Moreover, the majority of the simulators suffer from poor scalability. In this paper, we develop an efficient performance modeling technique for analyzing the time varying queueing behavior of multihop wireless networks. The one-hop packet transmission (service) time is assumed to be deterministic, which could be achieved by contention-free transmission, or approximated in sparse or lightly loaded multihop wireless networks. Our model is a hybrid of time varying adjacency matrix and fluid flow based differential equations, which represent dynamic topology changes and nonstationary network queues, respectively. Numerical experiments show that the hybrid fluid based model can provide reasonably accurate results much more efficiently than standard simulators. Also an example application of the modeling technique is given showing the nonstationary network performance as a function of node mobility, traffic load and wireless link quality. © 2013 IEEE.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Xu, K
Tipper, Ddtipper@pitt.eduDTIPPER0000-0002-9429-6425
Krishnamurthy, Pprashk@pitt.eduPRASHK
Qian, Y
Date: 15 May 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: 2013 International Conference on Computing, Networking and Communications, ICNC 2013
Page Range: 1090 - 1096
Event Type: Conference
DOI or Unique Handle: 10.1109/iccnc.2013.6504244
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9781467352888
Date Deposited: 03 Jul 2013 15:07
Last Modified: 03 Jun 2019 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/19228

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