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A mobility model for pedestrian content distribution
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Source International Conference On Simulation Tools And Techniques For Communications, Networks And Systems & Workshops archive
Proceedings of the 2nd International Conference on Simulation Tools and Techniques table of contents
Rome, Italy
SESSION: Traffic and mobility modeling table of contents
Article No. 93  
Year of Publication: 2009
ISBN:978-963-9799-45-5
Authors
Vladimir Vukadinović  KTH, Royal Institute of Technology, Stockholm, Sweden
Ólafur Ragnar Helgason  KTH, Royal Institute of Technology, Stockholm, Sweden
Gunnar Karlsson  KTH, Royal Institute of Technology, Stockholm, Sweden
Sponsors
: Create-Net
: ICST
Publisher
Bibliometrics
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DOI Bookmark: 10.4108/ICST.SIMUTOOLS2009.5645

ABSTRACT

Mobile communication devices may be used for spreading multimedia data without support of an infrastructure. Such a scheme, where the data is carried by people walking around and relayed from device to device by means of short range radio, could potentially form a public content distribution system that spans vast urban areas. The transport mechanism is the flow of people and it can be studied but not engineered. The question addressed in this paper is how well pedestrian content distribution may work. We answer this question by modeling the mobility of people moving around in a city, constrained by a given topology. Our contributions are both the queuing analytic model that captures the flow of people and the results on the feasibility of pedestrian content distribution. Furthermore, we discuss possible extensions to the mobility model to capture speed-distance relations that emerge in dense crowds.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. Izal, G. Urvoy-Keller, E. Biersack, P. Felber, A. A. Hamra, and L. Garćes-Erice, "Dissecting BitTorrent: Five Months in a Torrent's Lifetime," Proc. Passive and Active Measurements Conference, Antibes Juan-les-Pins, France, 2004.
 
2
S. M. Hedetniemi, S. T. Hedetniemi and A. Liestman, "A Survey of Gossiping and Broadcasting in Communication Networks," Networks, vol. 18, no. 4, pp. 319--349, 1988.
 
3
Delay Tolerant Networking Research Group. {Online}. Available: http://www.dtnrg.org/wiki. {Accessed Jan. 20, 2009}.
 
4
A. Vahdat and D. Becker, "Epidemic Routing for Partially Connected Ad Hoc Networks," Tech. rep. CS-200006, Duke University, NC, 2000.
5
6
 
7
A. El Fawal, J.-Y. Le Boudec, K. Salamatian, "Self-Limiting Epidemic Forwarding," Tech. rep. LCA-REPORT-2006-126, EPFL, Switzerland, 2006.
8
 
9
 
10
G. Karlsson, V. Lenders, and M. May, "Delay-Tolerant Broadcasting," IEEE Trans. Broadcasting, vol. 53, no. 2, pp. 369--381, 2007.
 
11
T. Camp, J. Boleng, and V. Davies, "A Survey of Mobility Models for Ad Hoc Network Research," Wireless Communications and Mobile Computing, vol. 2, no. 5, pp. 483--502, 2002.
 
12
 
13
J.-Y. Le Boudec and M. Vojnovic, "Perfect Simulation and Stationarity of a Class of Mobility Models," Proc. IEEE INFOCOM, Miami, FL, 2005.
14
 
15
F. Bai, N. Sadagopan, B. Krishnamachari, and Ahmed Helmy, "Modeling Path Duration Distributions in MANETs and their Impact on Reactive Routing Protocols," IEEE Journal on Selected Areas of Comm. (JSAC), vol. 22, no. 7, pp. 1357--1373, 2004.
 
16
K. K. Leung, W. A. Massey and W. Whitt, "Traffic Models for Wireless Communication Networks," IEEE Journal on Selected Areas in Communication, vol. 12, No. 8, pp. 1353--1364, 1994.
 
17
 
18
19
 
20
CRAWDAD: A Community Resource for Archiving Wireless Data at Dartmouth. {Online}. Available: http://crawdad.cs.dartmouth.edu. {Accessed Jan. 20, 2009}.
 
21
MobiLib: Community-Wide Library of Mobility and Wireless Networks Measurements. {Online}. Accessed: http://nile.usc.edu/MobiLib. {Accessed Jan. 20, 2009}.
 
22
M. Kim, D. Kotz, and S. Kim, "Extracting a Mobility Model from Real User Traces," Proc. IEEE INFOCOM, Barcelona, Spain, 2006.
23
24
 
25
A. Chaintreau, P. Hui, J. Crowcroft, C. Diot, Richard Gass and James Scott, "Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms," Proc. IEEE INFOCOM, Barcelona, Spain, 2006.
 
26
W. Hsu, T. Spyropoulos, K. Psounis, and A. Helmy, "Modeling Time-Variant User Mobility in Wireless Mobile Networks," Proc. IEEE INFOCOM, Anchorage, AL, 2007.
27
28
 
29
V. Vukadinovic, O. R. Helgason, and G. Karlsson, "On the performance of pedestrian content distribution," Tech. rep. TRITA-EE 2008:035, Royal Institute of Technology, Stockholm, Sweden.
 
30
A. Varga, "The OMNeT++ Discrete Event Simulation System," Proc. European Simulation Multiconference, Prague, Czech Republic, 2001.
 
31
D. Helbing and P. Molnar, "Social Force Model for Pedestrian Dynamics," Physical Review E, vol. 51, no. 5, pp. 4282--4286, 1995.
 
32
D. Helbing, M. Treiber, and A. Kesting, "Understanding Interarrival and Interdeparture Time Statistics from Interactions in Queuing Systems," Physica A, vol. 363, no. 1, pp. 62--72, 2006.

Collaborative Colleagues:
Vladimir Vukadinović: colleagues
Ólafur Ragnar Helgason: colleagues
Gunnar Karlsson: colleagues