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.
Read Online or Download Ad Hoc Networks: 6th International ICST Conference, ADHOCNETS 2014, Rhodes, Greece, August 18-19, 2014, Revised Selected Papers PDF
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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
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 , 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,  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  indicates that the “autonomous and distributed nature of multi-agent systems is well-suited to the transportation domain which is dynamic and geographically distributed”.