Jennifer C. Hou

Jennifer C. Hou

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Jennifer C. Hou

University of Illinois at Urbana-Champaign

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 October 2008 in Wireless Networks
Verified
Journal Article
Closed access
PDF file
Hyuk LimHyuk Lim
Hyuk Lim
LKLu-Chuan Kung
Lu-Chuan Kung
JHJennifer C. Hou
Jennifer C. Hou
HLHaiyun Luo
Haiyun Luo

27 April 2006 in Wireless Networks
Verified
Journal Article
Closed access
PDF file
FYFan Ye
Fan Ye
HZHonghai Zhang
Honghai Zhang
SLSongwu Lu
Songwu Lu
LZLixia Zhang
Lixia Zhang
JHJennifer Hou
Jennifer Hou

2 September 2005
Verified
Book Chapter
Closed access
PDF file
JHJennifer C. Hou
Jennifer C. Hou
NLNing Li
Ning Li
ISIvan Stojmenović
Ivan Stojmenović

1 January 2007
Verified
Conference Paper
Closed access
ASAhmed Sobeih
Ahmed Sobeih
MVMahesh Viswanathan
Mahesh Viswanathan
DMDarko Marinov
Darko Marinov
JHJennifer C. Hou
Jennifer C. Hou
In this paper, we report our work on extending the J-Sim network simulator to be an integrated environment for both simulation and model checking of network protocols. We also present a case study in which we model-checked AODV in J-Sim.

15 February 2013 in IEEE Transactions on Wireless Communications
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Journal Article
Closed access
TKTae-Suk Kim
Tae-Suk Kim
YYYong Yang
Yong Yang
JHJennifer C. Hou
Jennifer C. Hou
SKSrikanth V. Krishnamurthy
Srikanth V. Krishnamurthy
Many next generation applications (such as video flows) are likely to have associated minimum data rate requirements in order to ensure satisfactory quality as perceived by end-users. In this paper, we develop a framework to address the problem of maximizing the aggregate utility of traffic flows in a multi-hop wireless network, with constraints imposed both due to self-interference and minimum rate requirements. The parameters that are tuned in order to maximize the utility are (i) transmission powers of individual nodes and (ii) the channels assigned to the different communication links. Our framework is based on using a cross-decomposition technique that takes both inter-flow interference and self-interference into account. The output of our framework is a schedule that dictates what links are to be activated in each slot and the parameters associated with each of those links. If the minimum rate constraint cannot be satisfied for all of the flows, the framework intelligently rejects a sub-set of the flows and recomputes a schedule for the remaining flows. We also design an admission control module that determines if new flows can be admitted without violating the rate requirements of the existing flows in the network. We provide numerical results to demonstrate the efficacy of our framework.

23 August 2006 in Computer Networks
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Journal Article
Closed access
Hwangnam KimHwangnam Kim
Hwangnam Kim
JHJennifer C. Hou
Jennifer C. Hou