MobilityBased Clustering With Link Quality Estimation for Urban Vanets Owing to high mobility and a large amount of vehicles in a vehicular ad hoc network (VANET), it is challenging to overcome the issues of frequent topology changes and network scalability. To mitigate these issues, a vehicle clustering and management scheme can be applied to VANETs. Towards this goal, a mobilitybased clustering scheme with a clustering link quality estimation (CLQE) metric considering both mobility information and link quality estimation is proposed in this paper. The proposed clustering scheme is evaluated through the NS3 simulator and our simulation results show that our proposed scheme outperforms the closely related schemes in most scenarios.

Enhancing the LTEbased intelligent transportation systems performance Abstract   Intelligent transportation system is considered as one of the main features of the new generation wireless systems, where both of high speed data transmission and processing play a crucial role. This work presents two propositions in order to attain the performance improvement for both of data transmission and processing speed. Thus, the presented work consists of deriving a clustering algorithm based on a weighting algorithm for the head assignments processes, and emphasizing the parallelprocessing technique based on variety wavelet baby functions, respectively. Accordingly, both of the data transmission speed and power will be examined.  In order to verify the findings, a simulation has been done and compared with the following clustering algorithms; namely DMAC, PC, DBC, and LowerID DCA. This comparison is based on the following factors; namely efficiency factors involved in this investigation; namely complementary cumulative distributions, bit rates, energy efficiency, the cluster head life time and the ordinary nodes reattachinghead average times. The depicted results for the cluster head duration at 20 kms show a remarkable system stability based on both the clustering overhead, and the cluster head duration. The attained improvements reach the 53% and 88.4% over the DBC work and the LowestID DCA work, respectively.