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A community based mobility model for ad hoc network research

Published: 26 May 2006 Publication History

Abstract

Validation of mobile ad hoc network protocols relies almost exclusively on simulation. The value of the validation is, therefore, highly dependent on how realistic the movement models used in the simulations are. Since there is a very limited number of available real traces in the public domain, synthetic models for movement pattern generation must be used. However, most widely used models are currently very simplistic, their focus being ease of implementation rather than soundness of foundation. As a consequence, simulation results of protocols are often based on randomly generated movement patterns and, therefore, may differ considerably from those that can be obtained by deploying the system in real scenarios. Movement is strongly affected by the needs of humans to socialise or cooperate, in one form or another. Fortunately, humans are known to associate in particular ways that can be mathematically modelled and that have been studied in social sciences for years.In this paper we propose a new mobility model founded on social network theory. The model allows collections of hosts to be grouped together in a way that is based on social relationships among the individuals. This grouping is then mapped to a topographical space, with movements influenced by the strength of social ties that may also change in time. We have validated our model with real traces by showing that the synthetic mobility traces are a very good approximation of human movement patterns.

References

[1]
R. Albert and A.-L. Barabasi. Statistical mechanics of complex networks. Review of Modern Physics, 74:47--97, 2002.
[2]
J.-Y. L. Boudec and M. Vojnovic. Perfect simulation and stationarity of a class of mobility models. In Proceedings of IEEE INFOCOM'05, pages 72--79, March 2005.
[3]
T. Camp, J. Boleng, and V. Davies. A survey of mobility models for ad hoc network research. Wireless Communication and Mobile Computing Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications, 2(5):483--502, 2002.
[4]
A. Chaintreau, P. Hui, J. Crowcroft, C. Diot, R. Gass, and J. Scott. Pocket Switched Networks: Real-world mobility and its consequences for opportunistic forwarding. Technical Report UCAM-CL-TR-617, University of Cambridge, Computer Laboratory, February 2005.
[5]
A. Einstein. Investigations on the Theory of the Brownian Movement. Dover Publications, 1956.
[6]
T. Henderson, D. Kotz, and I. Abyzov. The changing usage of a mature campus-wide wireless network. In Proceedings of ACM MobiCom'04, pages 187--201, 2004.
[7]
K. Hermann. Modeling the sociological aspect of mobility in ad hoc networks. In Proceedings of MSWiM'03, pages 128--129, San Diego, California, USA, September 2003.
[8]
W. Hsu, K. Merchant, H. Shu, C. Hsu, and A. Helmy. Weighted Waypoint Mobility Model and its Impact on Ad Hoc Networks. ACM Mobile Computer Communications Review (MC2R), pages 59--63, January 2005.
[9]
P. Hui, A. Chaintreau, J. Scott, R. Gass, J. Crowcroft, and C. Diot. Pockets Switched Networks and Human Mobility in Conference Environments. In Proceedings of ACM SIGCOMM'05 Workshops, pages 244--251, August 2005.
[10]
A. Jardosh, E. M. Belding-Royer, K. C. Almeroth, and S. Suri. Real world Environment Models for Mobile Ad hoc Networks. IEEE Journal on Special Areas in Communications - Special Issue on Wireless Ad hoc Networks, 23(3), March 2005.
[11]
D. Johnson and D. Maltz. Dynamic source routing in ad hoc wireless networks. In T. Imelinsky and H. Korth, editors, Mobile Computing, volume 353, pages 153--181. Kluwer Academic Publishers, 1996.
[12]
K. A. Khaled Harras and E. Belding-Royer. Delay Tolerant Mobile Networks (DTMNs): Controlled Flooding Schemes in Sparse Mobile Networks. In IFIP Networking 2005, pages 1180--1192, May 2005.
[13]
D. Kotz and T. Henderson. CRAWDAD: A Community Resource for Archiving Wireless Data at Dartmouth. IEEE Pervasive Computing, 4(4):12--14, October-December 2005.
[14]
K. Maeda, K. Sato, K. Konishi, A. Yamasaki, A. Uchiyama, H. Yamaguchi,K. Yasumotoy, and T. Higashino. Getting urban pedestrian flow from simple observation: Realistic mobility generation in wireless network simulation. In Proceedings of MSWiM'05, pages 151--158, September 2005.
[15]
S. McCanne and S. Floyd. ns-2 network simulator. http://www.isi.edu/nsnam/ns/.
[16]
M. McNett and G. M. Voelker. Access and mobility of wireless pda user. Mobile Computing Communications Review, 9(2):40--55, April 2005.
[17]
M. Musolesi, S. Hailes, and C. Mascolo. An Ad Hoc Mobility Model Founded on Social Network Theory. In Proceedings of MSWiM'04, pages 20--24. ACM Press, October 2004.
[18]
M. Musolesi, S. Hailes, and C. Mascolo. Adaptive routing for intermittently connected mobile ad hoc networks. In Proceedings of WoWMoM 2005. Taormina, Italy. IEEE press, June 2005.
[19]
M. E. J. Newman. Scientific Collaboration Networks: II. Shortest Paths, Weighted Networks and Centrality. Physical Review E, 64, 2001.
[20]
M. E. J. Newman. The Structure of Scientific Collaboration Networks. In Proceedings of the National Academy of Science, volume 98, pages 404--409, 2001.
[21]
M. E. J. Newman. The structure and function of complex networks. SIAMReview, 19(1):1--42, 2003.
[22]
M. E. J. Newman and M. Girvan. Finding and evaluating community structure in networks. Physical Review E, 69, February 2004.
[23]
M. E. J. Newman and J. Park. Why Social Networks are Different from Other Types of Networks. Physical Review E, 68, 2003.
[24]
J. Scott. Social Networks Analysis: A Handbook. Sage Publications, London, United Kingdom, second edition, 2000.
[25]
G. Sharma and R. R. Mazumdar. Scaling laws for capacity and delay in wireless ad hoc networks with random mobility. In IEEE International Conference on Communications (ICC'04), pages 3869-- 3873, June 2004.
[26]
C. Tuduce and T. Gross. A Mobility Model Based on WLAN Traces and its Validation. In Proceedings of INFOCOM'05, pages 19--24, March 2005.
[27]
A. Vasquez, R. Pastor-Satorras, and A. Vespignani. Large-scale topological and dynamical properties of the internet. Physical Review E, 67, 2003.
[28]
D. J. Watts. Small Worlds The Dynamics of Networks between Order and Randomness. Princeton Studies on Complexity. Princeton University Press, 1999.
[29]
X. Zeng, R. Bagrodia, and M. Gerla. Glomosim: A library for parallel simulation of large-scale wireless networks. In Workshop on Parallel and Distributed Simulation, pages 154--161, 1998.

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cover image ACM Conferences
REALMAN '06: Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
May 2006
142 pages
ISBN:1595933603
DOI:10.1145/1132983
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 May 2006

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Author Tags

  1. mobile ad hoc networking
  2. mobility model
  3. social networks

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  • (2022)Women in Networks: Professor Cecilia MascoloIEEE Network10.1109/MNET.2022.991977836:4(4-5)Online publication date: Jul-2022
  • (2022) Mo 3 : A Modular Mobility Model for Future Generation Mobile Wireless Networks IEEE Access10.1109/ACCESS.2022.316154110(34085-34115)Online publication date: 2022
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