Abstract
Intelligent transportation system is considered as one of the main features of the new generation of the wireless systems. Furthermore, both of high speed data transmission and processing play a crucial role for these generations. In this work, two main propositions have been detailed in order to attain an improvement in such intelligent systems performance and to enhance both of data transmission and processing speed. Thus, a proposed clustering algorithm will be presented for grouping mobile nodes based on their speeds besides the assignments of the head nodes that will not be updated every cycle, while the ordinary ones themselves will execute their attaching heads continuously. In order to enhance the speed of data transmission and processing, a parallel-processing technique is emphasized. This is based on a variety of wavelet baby functions to attain the target of increasing the speed with low complexity. In addition, the optimization of the transmitted power phenomenon, the Multiband orthogonal frequency division multiplexing is used to provide such privilege via the parallel processing criterion. There have been five main efficiency factors involved in this investigation; namely complementary cumulative distributions, bit rates, energy efficiency, the cluster head life time and the ordinary nodes reattaching-head average times.
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