Abstract
Advantages of bringing small-world properties in mobile ad hoc networks (MANETs) in terms of quality of service has been studied and outlined in the past years. In this work, we focus on the specific class of vehicular ad hoc networks (VANETs) and propose to un-partition such networks and improve their small-world properties. To this end, a subset of nodes, called injection points, is chosen to provide backend connectivity and compose a fully-connected overlay network. The optimisation problem we consider is to find the minimal set of injection points to constitute the overlay that will optimise the small-world properties of the resulting network, i.e., (1) maximising the clustering coefficient (CC) so that it approaches the CC of a corresponding regular graph and (2) minimising the difference between the average path length (APL) of the considered graph and the APL of corresponding random graphs. In order to face this new multi-objective optimisation problem, the NSGAII algorithm was used on realistic instances in the city-centre of Luxembourg. The accurate tradeoff solutions found by NSGAII (assuming global knowledge of the network) will permit to better know and understand the problem. This will later ease the design of decentralised solutions to be used in real environments, as well as their future validation.
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References
Hotcity network website, http://www.hotcity.lu
Banerjee, A., Agarwal, R., Gauthier, V., Yeo, C.K., Afifi, H., Lee, B.-S.: A self-organization framework for wireless ad hoc networks as small worlds. CoRR, abs/1203.1185 (2012)
Brust, M.R., Frey, H., Rothkugel, S.: Dynamic multi-hop clustering for mobile hybrid wireless networks. In: Int. Conf. on Ubiquitous Information Management and Communication (ICUIMC), pp. 130–135. ACM (2008)
Brust, M.R., Ribeiro, C.H.C., Turgut, D., Rothkugel, S.: LSWTC: A local small-world topology control algorithm for backbone-assisted mobile ad hoc networks. In: IEEE Con. on Local Computer Networks (LCN), pp. 144–151 (2010)
Brust, M.R., Turgut, D., Riberio, C.H.C., Kaiser, M.: Is the clustering coefficient a measure for fault tolerance in wireless sensor networks? In: IEEE Int. Conf. on Communications—Ad-hoc and Sensor Networking Symposium (ICC) (2012)
Cavalcanti, D., Agrawal, D., Kelner, J., Sadok, D.: Exploiting the small-world effect to increase connectivity in wireless ad hoc networks. In: IEEE Int. Conf. on Telecommunications (2004)
Coello Coello, C.A., Lamont, G.B., Veldhuizen, D.A.: Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd edn. Springer (2007)
Danoy, G., Alba, E., Bouvry, P.: Optimal interconnection of ad hoc injection networks. Journal of Interconnection Networks (JOIN) 9(3), 277–297 (2008)
Danoy, G., Alba, E., Bouvry, P., Brust, M.R.: Optimal design of ad hoc injection networks by using genetic algorithms. In: Conf. on Genetic and Evolutionary Computation, GECCO, pp. 2256–2256. ACM (2007)
Danoy, G., Bouvry, P., Hogie, L.: Coevolutionary genetic algorithms for ad hoc injection networks design optimization. In: IEEE Congress on Evolutionary Computation (CEC), pp. 4273–4280 (2007)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. on Evol. Comp. 6(2), 182–197 (2002)
Dorronsoro, B., Ruiz, P., Danoy, G., Pigné, Y., Bouvry, P.: Evolutionary Algorithms for Mobile Networks. Wiley (in press, 2013)
Filiposka, S., Trajanov, D., Grnarov, A.: Analysis of small world phenomena and group mobility in ad hoc networks. In: Innovative Algs. and Techns. in Automation, Industrial Electronics and Telecommunications, pp. 425–430. Springer (2007)
Helmy, A.: Small worlds in wireless networks. IEEE Communications Letters 7(10), 490–492 (2003)
Pallis, G., Katsaros, D., Dikaiakos, M.D., Loulloudes, N., Tassiulas, L.: On the structure and evolution of vehicular networks. In: Int. Symp. on Modeling, Analysis & Simulation of Computer and Telecom. Systems, pp. 1–10. IEEE (2009)
Pigné, Y., Danoy, G., Bouvry, P.: A Vehicular Mobility Model Based on Real Traffic Counting Data. In: Strang, T., Festag, A., Vinel, A., Mehmood, R., Rico Garcia, C., Röckl, M. (eds.) Nets4Trains/Nets4Cars 2011. LNCS, vol. 6596, pp. 131–142. Springer, Heidelberg (2011)
Rezende, C., Boukerche, A., Pazzi, R.W., Rocha, B.P.S., Loureiro, A.A.F.: The impact of mobility on mobile ad hoc networks through the perspective of complex networks. J. Parallel Distrib. Comput. 71(9), 1189–1200 (2011)
Stai, E., Karyotis, V., Papavassiliou, S.: Socially-inspired topology improvements in wireless multi-hop networks. In: IEEE Int. Conf. on Communications (ICC), pp. 1–6 (2010)
Watts, D.J., Strogatz, S.H.: Collective dynamics of small-world networks. Nature 393(6684), 440–442 (1998)
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Schleich, J., Danoy, G., Dorronsoro, B., Bouvry, P. (2013). An Overlay Approach for Optimising Small-World Properties in VANETs. In: Esparcia-Alcázar, A.I. (eds) Applications of Evolutionary Computation. EvoApplications 2013. Lecture Notes in Computer Science, vol 7835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37192-9_4
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DOI: https://doi.org/10.1007/978-3-642-37192-9_4
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