Abstract In the Mobile adhoc networks, the Vehicular adhoc networks are the integral part that helps to transfer information about the nearby vehicles and also between many vehicles and the devices uses in the vehicular networks. In testing the proposed models in VANET there are several constraints such as logistics, higher cost and reproducibility and hence the implementation channels rely on... In the Mobile adhoc networks, the Vehicular adhoc networks are the integral part that helps to transfer information about the nearby vehicles and also between many vehicles and the devices uses in the vehicular networks. In testing the proposed models in VANET there are several constraints such as logistics, higher cost and reproducibility and hence the implementation channels rely on simulation experiments. While designing the models, the VANET simulations are important parts. The vehicular mobility models depend on the data reliability. To ease this testing process, currently the vehicular traces are used. We in this paper use the metaheuristics evolutionary algorithms and the simulations are produced by these algorithms. Besides, in this work, we have studied the benefits and limitations of the EA domains for producing vehicular traces. Read More Read Less

Abstract In the current work, we have used the macro-diversity reception with macro-diversity selectin and the combination of maximal ratio receivers. The propagation of signals at the multiple antennas at the receiver stage induces the non-line of-sight multipath fading channel and signals. The second level MRC also propagates inline shadowed multipath fading channel. With the help of Nakagami-m distribution we have... In the current work, we have used the macro-diversity reception with macro-diversity selectin and the combination of maximal ratio receivers. The propagation of signals at the multiple antennas at the receiver stage induces the non-line of-sight multipath fading channel and signals. The second level MRC also propagates inline shadowed multipath fading channel. With the help of Nakagami-m distribution we have defined the MRC receivers and the long term fading is explained using Gamma distribution. We have documented the impact of Rician fator and Nakagami-m severity parameter on LCR analysis using mean crossing rate and receiver output signal. Read More Read Less

Abstract More research has been conducted in improving the performance of elevator systems. It helps in improving the reliability, technology enhancement and prevention of malfunctions. We in this research have introduced the autonomous data collection model for measurement of movement indicators. It includes many indicators such as acceleration, magnetometer, temperature and distance of multiple sensor which leads to improvement. This work... More research has been conducted in improving the performance of elevator systems. It helps in improving the reliability, technology enhancement and prevention of malfunctions. We in this research have introduced the autonomous data collection model for measurement of movement indicators. It includes many indicators such as acceleration, magnetometer, temperature and distance of multiple sensor which leads to improvement. This work also incorporated wireless communication models power use and non-volatile memory. More research on remote data collection and local data networks using script-based algorithms are also given. Read More Read Less