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A mobility model for studying wireless communication and the complexity of problems in the model

Published: 01 May 2012 Publication History

Abstract

Wireless communication has become omnipresent in the world and enables users to have an unprecedented ability to communicate any time and any place. In this article, we propose a mobility model for studying wireless communication. The model incorporates elements such as users, access points, and obstacles so that it faithfully mimics the real environment. Interesting problems that have practical applications are posed and solved. More specifically, we study the complexity of three problems in a grid. The source reachability problem (SRP) models a situation in which we want to determine whether two access points can communicate at a certain time in a mobile environment. When users are involved in this situation, we call this problem the user communication problem (UCP). We show that SRP can be solved in O(max{d,t}m2) time, where d is the number of obstacles, t is the time bound in the statement of the problem, and m is the number of access points; we show that UCP can be solved in O(max{d,t}m4) time. The third problem called the user communication, limited source access problem (UCLSAP) studies a situation where we want to determine whether two users can communicate uninterruptedly during the duration of the model while considering battery-time limits of the access points. In contrast to the first two problems, we demonstrate that UCLSAP is intractable, unless P = NP. In conclusion, we briefly discuss the extension of our model to three dimensions and provide a list of open problems. © 2012 Wiley Periodicals, Inc. NETWORKS, 2012 © 2012 Wiley Periodicals, Inc.

References

[1]
S. Ahmed, G. C. Karmakara, and J. Kamruzzaman, An environment-aware mobility model for wireless ad hoc network, Comput Networks 54 (2010), 1470–1489.
[2]
A. S. Ahluwalia and E. H. Modiano, On the complexity and distributed construction of energy-efficient broadcast trees in wireless ad hoc networks, IEEE Trans Wireless Commun 4 (2005), 2136–2147.
[3]
M. Cagalj, J. P. Hubaux, and C. Enz, Minimum-energy broadcast in all-wireless networks: NP-completeness and distribution issues, International Conference on Mobile Computing and Networking, Proceedings of the 8th Annual International Conference on Mobile Computing and Networking, Atlanta, GA, September 23–28, 2002, pp. 172–182.
[4]
D. R. Choffnes and F. E. Bustamante, An integrated mobility and traffic model for vehicular wireless networks, International Conference on Mobile Computing and Networking, Proceedings of the 2nd ACM International Workshop on Vehicular Ad Hoc Networks, Cologne, Germany, September 2, 2005, pp. 69–78.
[5]
Y. Dong, W. K. Hon, D. K. Y. Yau, and J. C. Chin, Distance Reduction in Mobile Wireless Communication: Lower Bound Analysis and Practical Attainment, IEEE Trans Mobile Comput 8 (2009), 276–287.
[6]
P. Goransson and R. Greenlaw, Secure roaming in 802.11 networks, Elsevier Science and Technical Book Group, Newnes Press, Boston, 2007.
[7]
R. Greenlaw, H. James Hoover, and W. Larry Ruzzo, Limits to parallel computation: P -completeness theory, Oxford University Press, New York, 1995.
[8]
G.H. Hardy, Ramanujan: Twelve lectures on subjects suggested by his life and work, 3rd edition, New York, Chelsea, 1999, pp. 67.
[9]
D. Hilbert and S. Cohn-Vossen, Geometry and the imagination, Chelsea, New York, 1999, pp. 33–35.
[10]
A. Itai, C. H. Papadimitriou, and J. L. Szwarcfiter, Hamilton paths in grid graphs, SIAM J Comput 11 (1982), 676–686.
[11]
A. Jardosh, E. M. Belding-Royer, S. Barbara, K. C. Almeroth, S. Barbara, and S. Suri, Towards realistic mobility models for mobile ad hoc networks, International Conference on Mobile Computing and Networking, Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, San Diego, CA, September 1419, 2003, pp. 217–229.
[12]
B. Krishnamachari, S. Wicker, R. Bjar, and C. Fernndez, On the complexity of distributed self-configuration in wireless networks, Telecommun Syst 22 (2003), 33–59.
[13]
T. Liu and P. Bahl, Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks, IEEE J Select Areas Commun 16 (1998), 922–936.
[14]
M. K. Marina, S. R. Das, and A. P. Subramanian, A topology control approach for utilizing multiple channels in multi-radio wireless mesh networks, Comput Networks 54 (2010), 241–256.
[15]
A. B. McDonald and T. F. Znati, A mobility based framework for adaptive clustering in wireless ad-hoc networks, IEEE J Select Areas Commun 17 (1999), 1466–1486.
[16]
S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. B. Srivastava, Coverage Problems in Wireless Ad-Hoc Sensor Networks, IEEE Conf Comput Commun 3 (2001), 1380–1387.
[17]
S. Murthy and J. J. Garcia-Luna-Aceves, An efficient routing protocol for wireless networks, Mobile Networks Appl 1 (1996), 183–197.
[18]
F. G. Nocetti, J. S. Gonzalez, and I. Stojmenovic, Connectivity based k-hop clustering in wireless networks, Telecommun Syst 22 (2003), 205–220.
[19]
V. D. Park and M. S. Corson, A highly adaptive distributed routing algorithm for mobile wireless networks, Proceedings of the 16th Annual Joint Conference of the IEEE Computer and Communications Societies, Driving the Information Revolution, Kobe, Japan, April 712, 1997.
[20]
G. Pei, M. Gerla, X. Hong, and C. C. Chiang, Wireless hierarchical routing protocol with group mobility (WHIRL), Proc IEEE Wireless Commun Networking Conf 3 (1999), 1538–1542.
[21]
L. Ramachandran, M. Kapoor, A. Sarkar, and A. Aggarwal, Clustering algorithms for wireless ad hoc networks, Workshop on Discrete Algorithms and Methods for MOBILE Computing and Communications, Proceedings of the 4th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications, Boston, MA, August 11, 2000, pp. 54–63.
[22]
A. D. Sarwate and A. G. Dimakis, The impact of mobility on gossip algorithms, IEEE Trans Inf Theory (in press).
[23]
S. D. Servetto and G. Barreneche, Constrained random walks on random graphs: Routing algorithms for large scale wireless sensor networks, Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, Atlanta, GA, September 28, 2002, pp. 12–21.
[24]
U. Varshney and R. Vetter, Emerging mobile and wireless networks, Commun ACM 43 (2000), 73–81.
[25]
Y. Wang, Topology control for wireless sensor networks, Signals and Communication Technology, Wireless Sensor Networks and Applications, Springer, New York, 2008, pp. 113–147.
[26]
G. Xing, T. Wang, W. Jia, and M. Li, Rendezvous design algorithms for wireless sensor networks with a mobile base station, International Symposium on Mobile Ad Hoc Networking & Computing Archive, Proceedings of the 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Hong Kong, China, May 2630, 2008, pp. 231–240.
[27]
Y. Zhang, J. M. Nga, and C. P. Lowa, A distributed group mobility adaptive clustering algorithm for mobile ad hoc networks, Comput Commun 32 (2009), 189–202.

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    Published In

    cover image Networks
    Networks  Volume 59, Issue 3
    May 2012
    83 pages
    ISSN:0028-3045
    EISSN:1097-0037
    Issue’s Table of Contents

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    Wiley-Interscience

    United States

    Publication History

    Published: 01 May 2012

    Author Tags

    1. ad hoc networks
    2. complexity
    3. wireless mobile communications

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