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On Nodal Encounter Patterns in Wireless LAN Traces
November 2010 (vol. 9 no. 11)
pp. 1563-1577
ASCII Text
x 
 
Wei-jen Hsu, Ahmed Helmy, "On Nodal Encounter Patterns in Wireless LAN Traces," IEEE Transactions on Mobile Computing, vol. 9, no. 11, pp. 1563-1577, November, 2010.
 
 
BibTex
x
 
@article{ 10.1109/TMC.2010.123,
author = {Wei-jen Hsu and Ahmed Helmy},
title = {On Nodal Encounter Patterns in Wireless LAN Traces},
journal ={IEEE Transactions on Mobile Computing},
volume = {9},
number = {11},
issn = {1536-1233},
year = {2010},
pages = {1563-1577},
doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2010.123},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Mobile Computing
TI - On Nodal Encounter Patterns in Wireless LAN Traces
IS - 11
SN - 1536-1233
SP1563
EP1577
EPD - 1563-1577
A1 - Wei-jen Hsu,
A1 - Ahmed Helmy,
PY - 2010
KW - Computer systems organization
KW - communication/networking and information technology
KW - mobile computing
KW - mobile environments
KW - wide-area networks
KW - wireless.
VL - 9
JA - IEEE Transactions on Mobile Computing
ER -
 
Wei-jen Hsu, University of Florida
Ahmed Helmy, University of Florida
In this paper, we analyze multiple wireless LAN (WLAN) traces from university and corporate campuses. In particular, we consider important events between mobile nodes in wireless networks—encounters. We seek to understand encounter patterns in the mobile network from a holistic view, using a graph analysis approach. Such an analysis sheds light on the diverse, nonhomogeneous nature of users in the given environments in terms of their encounter events with other nodes. Furthermore, we evaluate the feasibility of forming an infrastructureless network to reach most of the nodes utilizing time-varying internode connectivity through encounters, and the robustness of such an ad hoc communication network. Our analysis shows that while the encounter events are “sparse” (i.e., any given node does not encounter with many other nodes), the connectivity of the whole network is well-maintained, and a Small World pattern of nodal encounter emerges for the observation periods longer than one day. More interestingly, the encounter events collectively form a robust communication network, in which store-carry-forward message dissemination can be successful even with over 20 percent noncooperative nodes or removal of short-lived (up to minutes) encounter events.

[1] W. Hsu and A. Helmy, "On Nodal Encounter Patterns in Wireless LAN Traces," Proc. Second Int'l Workshop Wireless Network Measurement (WiNMee '06), Apr. 2006.
[2] M. Balazinska and P. Castro, "Characterizing Mobility and Network Usage in a Corporate Wireless Local-Area Network," Proc. ACM MobiSys, pp. 303-316, May 2003.
[3] M. McNett and G. Voelker, "Access and Mobility of Wireless PDA Users," ACM SIGMOBILE Mobile Computing and Comm. Rev., vol. 7, no. 4, pp. 40-55, Oct. 2003.
[4] T. Henderson, D. Kotz, and I. Abyzov, "The Changing Usage of a Mature Campus-Wide Wireless Network," Proc. ACM MobiCom, Sept. 2004.
[5] W. Hsu, D. Dutta, and A. Helmy, "Extended Abstract: Mining Behavioral Groups in Large Wireless LANs," Proc. ACM MobiCom, pp. 338-341, Sept. 2007, longer technical report available at http://arxiv.org/abs/cs0606002.
[6] T. Camp, J. Boleng, and V. Davies, "A Survey of Mobility Models for Ad Hoc Network Research," Wireless Comm. and Mobile Computing (WCMC), special issue on mobile ad hoc networking: research, trends, and applications, vol. 2, no. 5, pp. 483-502, 2002.
[7] D.J. Watts and S.H. Strogatz, "Collective Dynamics of 'Small-World' Networks," Nature, vol. 393, pp. 440-442, 1998.
[8] R. Albert and A. Barabasi, "Statistical Mechanics of Complex Networks," Rev. Modern Physics, vol. 74, no. 1, pp. 47-97, Jan. 2002.
[9] A. Helmy, "Small Worlds in Wireless Networks," IEEE Comm. Letters, vol. 7, no. 10, pp. 490-492, Oct. 2003.
[10] W. Hsu, T. Spyropoulos, K. Psounis, and A. Helmy, "Modeling Spatial and Temporal Dependencies of User Mobility in Wireless Mobile Networks," Proc. IEEE/ACM Trans. Networking, vol. 17, no. 5, pp. 1564-1577, Oct. 2009.
[11] C. Tuduce and T. Gross, "A Mobility Model Based on WLAN Traces and Its Validation," Proc. IEEE INFOCOM, pp. 664-674, Mar. 2005.
[12] A. Rapoport and W. Horvath, "A Study of a Large Sociogram," Behavioral Science, vol. 6, pp. 279-291, 1961.
[13] K. Fall, "A Delay-Tolerant Network Architecture for Challenged Internets," Proc. ACM SIGCOMM Conf. Applications, Technologies, Architectures, and Protocols for Computer Comm., pp. 27-34, Aug. 2003.
[14] S. Jain, K. Fall, and R. Patra, "Routing in a Delay Tolerant Network," Proc. ACM SIGCOMM Conf. Applications, Technologies, Architectures, and Protocols for Computer Comm., pp. 145-159, Aug. 2004.
[15] A. Vahdat and D. Becker, "Epidemic Routing for Partially Connected Ad Hoc Networks," Technical Report CS-200006, Duke Univ., Apr. 2000.
[16] A. Lindgren, A. Doria, and O. Scheln, "Probabilistic Routing in Intermittently Connected Networks," Lecture Notes in Computer Science, pp. 239-254, Springer, Sept. 2004.
[17] T. Spyropoulos, K. Psounis, and C. Raghavendra, "Efficient Routing in Intermittently Connected Mobile Networks: The Single-Copy Case," IEEE/ACM Trans. Networking, vol. 16, no. 1, pp. 63-76, Feb. 2008.
[18] P. Hui, A. Chaintreau, J. Scott, R. Gass, J. Crowcroft, and C. Diot, "Pocket Switched Networks and the Consequences of Human Mobility in Conference Environments," Proc. ACM SIGCOMM Workshop Delay Tolerant Networking, Aug. 2005.
[19] R. Hogg and E. Tanis, Probability and Statistical Inference, sixth ed. Prentice Hall, 2001.
[20] W. Hsu and A. Helmy, "IMPACT: Investigation of Mobile-User Patterns Across University Campuses Using WLAN Trace Analysis," Unpublished USC technical report, Univ. of Southern California, http://nile.usc.edu/MobiLibTrace_analysis_TR.pdf , 2008.
[21] M. Grossglauser and M. Vetterli, "Locating Nodes with EASE: Mobility Diffusion of Last Encounters in Ad Hoc Networks," Proc. IEEE INFOCOM, Apr. 2003.
[22] F. Bai and A. Helmy, "Impact of Mobility on Last Encounter Routing Protocols," Proc. Fourth Ann. IEEE Comm. Soc. Conf. Sensor, Mesh and Ad Hoc Comm. and Networks (SECON '07), June 2007.
[23] W. Hsu and A. Helmy, "On Important Aspects of Modeling User Associations in Wireless LAN Traces," Proc. Second Int'l Workshop Wireless Network Measurement (WiNMee '06), Apr. 2006.
[24] E. Daly and M. Haahr, "Social Network Analysis for Routing in Disconnected Delay-Tolerant MANETs," Proc. ACM MobiHoc, pp. 32-40, Sept. 2007.
[25] C. Nuzman, I. Saniee, W. Sweldens, and A. Weiss, "A Compound Model for TCP Connection Arrivals for LAN and WAN Applications," Computer Networks, vol. 40, pp. 319-337, Oct. 2002.
[26] M. Papadopouli, H. Shen, and M. Spanakis, "Characterizing the Duration and Association Patterns of Wireless Access in a Campus," Proc. 11th European Wireless Conf., Apr. 2005.
[27] J. Su, A. Chin, A. Popivanova, A. Goel, and E. de Lara, "User Mobility for Opportunistic Ad-Hoc Networking," Proc. Sixth IEEE Workshop Mobile Computing Systems and Applications (WMCSA '04), Dec. 2004.
[28] N. Eagle and A. Pentland, "Reality Mining: Sensing Complex Social Systems," J. Personal and Ubiquitous Computing, vol. 10, no. 4, pp. 255-268, Mar. 2006.
[29] J. Leguay, T. Friedman, and V. Conan, "Evaluating Mobility Pattern Space Routing for DTNs," Proc. IEEE INFOCOM, Apr. 2006.
[30] V. Erramilli, A. Chaintreau, M. Crovella, and C. Diot, "Diversity of Forwarding Paths in Pocket Switched Networks," Proc. Seventh ACM SIGCOMM Conf. Internet Measurement (IMC '07), Oct. 2007.
[31] M. Kim and D. Kotz, "Periodic Properties of User Mobility and Access-Point Popularity," J. Personal and Ubiquitous Computing, vol. 11, no. 6, pp. 465-479, Aug. 2007.
[32] V. Srinivasan, M. Motani, and W.T. Ooi, "Analysis and Implications of Student Contact Patterns Derived from Campus Schedules," Proc. ACM MobiCom, Sept. 2006.
[33] S. Tanachaiwiwat and A. Helmy, "On the Performance Evaluation of Encounter-Based Worm Interactions Based on Node Characteristics," Proc. ACM MobiCom Workshop Challenged Networks (CHANTS '07), Sept. 2007.
[34] W. Hsu, D. Dutta, and A. Helmy, "Profile-Cast: Behavior-Aware Mobile Networking," Proc. IEEE Wireless Comm. Networking Conf. (WCNC '08), Apr. 2008.
[35] "MobiLib: Community-Wide Library of Mobility and Wireless Networks Measurements," http://nile.cise.ufl.eduMobiLib, 2005.
[36] "CRAWDAD: A Community Resource for Archiving Wireless Data at Dartmouth," http://crawdad.cs.dartmouth.eduindex. php , 2005.
[37] W. Hsu and A. Helmy, "MobiLib USC WLAN Trace Data Set," http://nile.cise.ufl.edu/MobiLibUSC_trace , 2005.
[38] D. Kotz, T. Henderson, and I. Abyzov, CRAWDAD Data Set Dartmouth/Campus/Movement/01_04 (v. 2005-03-08), http://crawdad.cs.dartmouth.edu/dartmouth/ campus/movement01_04, 2005.
[39] M. Balazinska, and P. Castro, CRAWDAD Data Set IBM/Watson (v. 2003-02-19), http://crawdad.cs.dartmouth.edu/ibmwatson , 2003.
[40] M. McNett, and G.M. Voelker, "Wireless Topology Discovery Project Data Set," http://sysnet.ucsd.eduwtd, 2004.

Index Terms:
Computer systems organization, communication/networking and information technology, mobile computing, mobile environments, wide-area networks, wireless.
Citation:
Wei-jen Hsu, Ahmed Helmy, "On Nodal Encounter Patterns in Wireless LAN Traces," IEEE Transactions on Mobile Computing, vol. 9, no. 11, pp. 1563-1577, Nov. 2010, doi:10.1109/TMC.2010.123
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