Cognitive Self Scheduled Mechanism for Access Control in Noisy Vehicular Ad Hoc Networks
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Vehicular ad hoc networks (VANETs) is a type of wireless networks which plays a key role in the intelligent transportation systems. WiFi-based networks are becoming increasingly ubiquitous, and in many cases entire cities and campuses are being covered. Though it may be possible to get brief periods of connectivity these networks and the WiFi technology itself are not designed to provide connectivity to moving vehicles. Our results uncover a more complex picture than previous work which was conducted in more benign settings. The impressive penetration of 802.11-based wireless networks in many metropolitan areas around the world offers, for the first time, the opportunity of a “grassroots” wireless Internet service provided by users who “open up” their 802.11 (Wi-Fi) access points in a controlled manner to mobile clients. In Wi-Fi based vehicular environments, there is lot of interrupts in the Access Points (APs). To avoid this new scheme the existing system uses SWIMMING technique with uplink and downlink communication. The client broadcast the packet request to APs and an ACK detection scheme is included for collision detection. The packet reaches the client through multiple APs which dynamically follow the moving client. For increasing the channel accessibility from AP, an efficient approach called cognitive mechanism is proposed with the recursive algorithm. This mechanism increases the performance of the communication without dropping the packet which tends to increase the throughput capacity.
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