In an urban environment, vehicles can opportunistically exploit infrastructure through open Access Points (APs) to efficiently communicate with other vehicles. This is to avoid long wireless ad hoc paths, and to alleviate congestion in the wireless grid. Analytic and simulation models are used to optimize the communications and networking strategies. For realistic results, one important challenge is the accurate representation of traffic mobility patterns. In this paper we introduce realistic vehicular mobility traces of downtown Portland, Oregon, obtained fromextremely detailed large scale traffic simulations performed at the Los Alamos National Laboratories (LANL). To the best of our knowledge, these are among the most accurate synthetic motion traces available for study, with the exception of actual car trace measurements. The new mobility model is used to evaluate AODV [1] in flat and opportunistic infrastructure routing. To assess the importance of a realistic mobility model for this evaluation, we compare these results with those obtained with CORSIM [2] traces. The paper makes the following contributions: (a) introduction of efficient, opportunistic strategies for extending the AP infrastructure to use vehicle to vehicle paths, and (b) assessment of different mobility models - CORSIM traces and LANL's realistic vehicular traces - in the modeling of different routing strategies. Copyright 2007 ACM.

Evaluating vehicle network strategies for downtown Portland: Opportunistic infrastructure and the importance of realistic mobility models / Marfia, Gustavo*; Pau, Giovanni; De Sena, Enzo; Giordano, Eugenio; Gerla, Mario. - ELETTRONICO. - (2007), pp. 47-51. (Intervento presentato al convegno 5th International Conference on Mobile Systems, Applications and Services tenutosi a San Juan, pri nel 2007) [10.1145/1247694.1247704].

Evaluating vehicle network strategies for downtown Portland: Opportunistic infrastructure and the importance of realistic mobility models

Marfia, Gustavo;Pau, Giovanni;Giordano, Eugenio;
2007

Abstract

In an urban environment, vehicles can opportunistically exploit infrastructure through open Access Points (APs) to efficiently communicate with other vehicles. This is to avoid long wireless ad hoc paths, and to alleviate congestion in the wireless grid. Analytic and simulation models are used to optimize the communications and networking strategies. For realistic results, one important challenge is the accurate representation of traffic mobility patterns. In this paper we introduce realistic vehicular mobility traces of downtown Portland, Oregon, obtained fromextremely detailed large scale traffic simulations performed at the Los Alamos National Laboratories (LANL). To the best of our knowledge, these are among the most accurate synthetic motion traces available for study, with the exception of actual car trace measurements. The new mobility model is used to evaluate AODV [1] in flat and opportunistic infrastructure routing. To assess the importance of a realistic mobility model for this evaluation, we compare these results with those obtained with CORSIM [2] traces. The paper makes the following contributions: (a) introduction of efficient, opportunistic strategies for extending the AP infrastructure to use vehicle to vehicle paths, and (b) assessment of different mobility models - CORSIM traces and LANL's realistic vehicular traces - in the modeling of different routing strategies. Copyright 2007 ACM.
2007
MobiOpp'07: Proceedings of the First International MobiSys Workshop on Mobile Opportunistic Networking
47
51
Evaluating vehicle network strategies for downtown Portland: Opportunistic infrastructure and the importance of realistic mobility models / Marfia, Gustavo*; Pau, Giovanni; De Sena, Enzo; Giordano, Eugenio; Gerla, Mario. - ELETTRONICO. - (2007), pp. 47-51. (Intervento presentato al convegno 5th International Conference on Mobile Systems, Applications and Services tenutosi a San Juan, pri nel 2007) [10.1145/1247694.1247704].
Marfia, Gustavo*; Pau, Giovanni; De Sena, Enzo; Giordano, Eugenio; Gerla, Mario
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/643871
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