By Natalie Mitton, Antoine Gallais, Melike Erol Kantarci, Symeon Papavassiliou
This ebook constitutes the completely refereed lawsuits of the sixth overseas convention on advert Hoc Networks, ADHOCNETS 2014, held in Rhodes, Greece, in August 2014. The sixteen commonplace and invited papers offered have been rigorously chosen and reviewed from a number of submissions and canopy quite a lot of functions, corresponding to 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
In all but one cases OLSR fails to exceed the percentage of the vehicular network covered by 2pCoCe. The results in Figure 2, set with the lowest speed (14m/s) in our experimentation, show that the frequency of vehicles does not have a signiﬁcant impact on our approach. Our method manages to ﬁnd the right paths for the spreading of messages and inform the vehicular network at near 80%. For our competitor the worst case performance is illustrated for the dense scenarios. This indicates that OLSR when faced with many options for selecting MPR vehicles cannot distinguish an appropriate MPR set for the most eﬃcient spreading of messages.
J2: Transportation Research Part C: Emerging Technologies journal (Elsevier). J3: IEEE Intelligent Transportation Systems Magazine (IEEE). J4: IEEE Transactions on Intelligent Transportation Systems journal (IEEE). J5: Expert Systems with Applications journal (Elsevier). C1: IEEE Intelligent Vehicles Symposium (IV). C2: IEEE Conference on Intelligent Transportation Systems (ITSC). C3: Autonomous Agents and Multiagent Systems (AAMAS) conference. C4: IEEE Vehicular Technology Conference (VTC). W1: ACM International Workshop on Vehicular Inter-Networking, Systems, and Applications (ACM VANET).
2 Eﬀective Throughput To evaluate the proposed deployment strategies, we simulated a vehicular traﬃc over a 35km x 40km road-network using the SUMO simulator. Microscopic models implemented by SUMO are Krauss’ car-following model  and Krajzewiczs lane-changing model  which faithfully mimic realistic driver’s behavior. The macroscopic model is based on an O/D matrix [origin to destination paradigm], forming a set of about 90, randomly chosen, paths (denoted as π). Fig. 2. Access Point Deployment Strategies (Global (left) Vs Fairness (right)) Vehicles have been injected with an average arrival rate of 1 vehicle each 200s on each path.
Ad Hoc Networks: 6th International ICST Conference, ADHOCNETS 2014, Rhodes, Greece, August 18-19, 2014, Revised Selected Papers by Natalie Mitton, Antoine Gallais, Melike Erol Kantarci, Symeon Papavassiliou