Multimedia Transfer over Wi-Fi Direct based on Fuzzy Clustering for Vehicular Communications

Wi-Fi Direct technology enables users to share services in groups, and support Service discovery at the data link layer before creating a P2P Group, and it can be used as a collaborative application integrated into vehicles for multimedia transfer and group configuration between V2X. Compared to cellular networks, Wi-Fi Direct offers a high transmission data rate at a cheaper cost. However, there are numerous hurdles to using Wi-Fi Direct in vehicles, including the fact that Wi-Fi Direct communication has a relatively small coverage area, disconnection may occur multiple times, and the distance between vehicles changes often in a moving setting, which negatively affects the quality of service delivery. Previous studies disregarded the motion and direction of moving objects. The main contribution of this paper is to use Wi-Fi Direct among vehicles to reduce reliance on the 5G network, thereby addressing the previous challenges. In particular, the main contribution of this paper is to introduce a set of scenarios based on different speeds, directions, and distances between vehicles. The state of the packets is monitored in each scenario to compute the packets delay and loss. We present a new contribution to the services discovery by providing V2V IE with a set of services that reflect the user's interest, such as Web pages, SMS, Audio links, and Video links, using the Generic Advertisement Protocol GAS, and a comparison between the traditional P2P IE and the new V2V IE. Furthermore, the paper introduces a stable Wi-Fi Direct Fuzzy C-Means FCM clustering method based on important parameters impacting the group formation, such as the location, the destination, the direction, the speed of the vehicle, and the user’s Interests List. Based on the results of the FCM, there is still uncertainty in choosing the appropriate time to provide the services to the vehicles. We propose a Type-2 Fuzzy Logic Handover T2FLH system to solve the problem of handling uncertainty about dealing with the available services. Using the simulation on OMNeT++, the proposed scenarios with the fuzzy c-means FCM clustering method are compared to get the best clusters. Then the results were compared with the Type-2 Fuzzy T2FLH system to extract the best scenarios. We concluded from the results of previous experiments that Wi-Fi Direct can be used with vehicles at low speeds and high speeds. In the case of low speeds, it works efficiently depending on OMNET++ results. Therefore, Wi-Fi Direct can be used in vehicle stations and work sites that use limited-speed vehicles such as Clarks machines to alert safety and provide them with information about the devices around them. Bearing in mind that the speed of devices is limited in work areas. In the case of high speeds, the results are significantly improved using the proposed Type-2 fuzzy Logic Handover T2FLH system to model uncertainty and imprecision in a better way. Relying on T2FLH has led to a decrease in the rate of Packets Loss and Delay because the selection of the available services with previously specified time in the neighboring table became more accurate and avoiding uncertainty, depending on calculating the size of the data and the WFD signal strength conjunction with the distance and speed between the vehicles.