There are some cases regarding information propagation over a wide area, such as Vehicle-to-Vehicle (V2V) communications, in which an end-to-end path does not exist, due to the non-uniform density of vehicles. In order to solve this problem, Delay Tolerant Network (DTN) architectures have been studied to facilitate message delivery in V2V communications. However, existing message delivery methods for the purpose of information sharing do not consider the efficiency of message passing communications. As a result, information can be lost, due to a decrease in the efficiency of information propagation. In order to increase the efficiency of information propagation, we propose a vehicle clustering algorithm, based on the similarity of geographic locations and trajectories. This contributes to efficient message passing communication. In order to evaluate our proposal, we carry out a simulation. The simulation results confirm that our proposed method provides higher message reachability, and utilizes bandwidth more efficiency than existing methods.
With the advance of computing and inter-networking technologies, various services, which need classification of data, are provided. Firewall and QoS control are typical services which classify the data flow. These services are based on two or more rules, and select a rule to classify the data. However, some of their rules may conflict with one another and it is necessary to resolve the conflicts in these classification mechanisms. In this paper, we discuss the classification of data with the generalization of the parameter filter. Then we arrange the parameter filter and propose a 2-phase selection model of classification records. In this model, we consider the procedure of the parameter filter as the phase depending only on the schema of the filter rule and the phase depending on the service. We also implement the KUPF framework based on this model and a sample service which provides QoS control over IPv4/IPv6 network. With this sample implementation, we validate the availability and evaluate the performance of KUPF.
International audienceVehicular Ad-hoc Network (VANET) is a type of Mobile Ad-hoc Network (MANET) which is specialized for vehicle communication. GeoNetworking is a new standardized network layer protocol for VANET which employs geolocation based routing. However, conducting large scale experiments in GeoNetworking softwares is extremely difficult, since it requires many extra factors such as vehicles, stuff, place, terrain, etc. In this paper, we propose a method to reproduce realistic results in simulation with the same software implementation. The key idea of the method is to calibrate simulator with the results of real world testbed experiments. After the simulator was calibrated, some extended experiments were carried out. Through these experiments, the fundamental functions of the GeoNetworking implementation (BTP, Greedy Forwarding, etc.) are verified, while an issue in algorithm was discovered and analyzed
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