Download Ad Hoc Networks: 6th International ICST Conference, by Natalie Mitton, Antoine Gallais, Melike Erol Kantarci, PDF

By Natalie Mitton, Antoine Gallais, Melike Erol Kantarci, Symeon Papavassiliou

This booklet constitutes the completely refereed lawsuits of the sixth foreign convention on advert Hoc Networks, ADHOCNETS 2014, held in Rhodes, Greece, in August 2014. The sixteen standard and invited papers offered have been conscientiously chosen and reviewed from a number of submissions and canopy quite a lot of functions, resembling cellular advert hoc networks, sensor networks, vehicular networks, clever transportation platforms, instant sensor networks security.

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Additional info for Ad Hoc Networks: 6th International ICST Conference, ADHOCNETS 2014, Rhodes, Greece, August 18-19, 2014, Revised Selected Papers

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Pseudo-code OLSR MPR set selection 3 Performance Evaluation For the evaluation purposes and for our experimentation we use the open source vehicular network simulation framework, VEINS [13], which uses SUMO for the traffic simulation and OMNET++ the network simulation framework. 1 33 Simulation Design Grid Network. We evaluated the performance of pCoCe in a grid road network topology (3X3). The network includes road segments with two direction flows and every 2km there are intersections with traffic lights providing a coordinated traffic flow.

Communication Between Vehicles. All vehicles are communicating through DSRC with range of communication as previously noted in 250 and 500m. For every vehicle in order to be aware of its vicinity, beacon messages are exchanged every 1 seconds. , missed two consecutive beacons, updates its vicinity by removing those vehicles. This ensures that each vehicle has a clear and very recent image of its neighboring cars. Notification Message Event. The dissemination of notification messages is triggered upon notification events.

Mitton et al. ): ADHOCNETS 2014, LNICST 140, pp. 39–50, 2014. 1007/978-3-319-13329-4 4 40 T. Delot et al. Apparently, the aforementioned capabilities of agents make them a good fit to bring the intelligence that Intelligent Transportation Systems need. The interest of applying agents in the field of transportation is also highlighted in other papers. For example, [4] indicates that many problems in traffic management and control are inherently distributed and that many actors in transportation (drivers, pedestrians, traffic experts, and even intersection and traffic light controllers) could be considered as autonomous agents, and [5] indicates that the “autonomous and distributed nature of multi-agent systems is well-suited to the transportation domain which is dynamic and geographically distributed”.

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