Highlights Define communication capacities as maximum throughputs with optimal sets of senders. Derive closed-form formulas of communication capacities for uniform traffic patterns. Propose an integer programming (IP) problem for capacities for general traffic patterns. Develop a genetic algorithm to solve the IP problem. Investigate communication capacities under traffic streams with shock waves.
Abstract Wireless communications among vehicles, roadside infrastructures, and traffic management centers can enable the development of next-generation Intelligent Transportation Systems so as to tackle basic traffic problems associated with driving safety, road congestion, and vehicle emissions. This paper analytically investigates the instantaneous communication capacities of vehicular ad hoc networks (VANETs), which measure the upper bounds of the message transmission rates of vehicles. Subject to interference among wireless transmissions, the broadcast capacity is defined by the maximum number of successful receivers, and the unicast capacity by the maximum number of successful senders. With the protocol communication model and uniform vehicular traffic patterns, we derive closed-form formulas for the capacities as functions of transmission range r, interference ratio , vehicular density , and channel capacity W. We show that broadcast capacities are approximately for uni-directional communications, and for bi-directional communications; while unicast capacities are approximately for uni-directional communications, and for bi-directional communications. For general vehicular traffic patterns, an optimization model is proposed to calculate the capacities, and a genetic algorithm integrated with the protocol communication model is developed to solve the optimization problem. Finally, the impacts of different transmission ranges, interference ratios, and shock waves on communication capacities are analyzed.
Instantaneous communication capacities of vehicular ad hoc networks
Tramsportation Research, Part C: Emerging Technologies ; 72 ; 325-341
2016-10-05
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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