Mobile ad hoc network (MANET) is a well-known wireless hoc network, which several nodes combined together to form a network. These nodes do not have any structure that forms network by self-configuring. In the global area, MANET is one of the popular technologies. At present, the most important real-time challenge in MANET is efficient routing. This is because of dynamic topology and resource constraints. Several existing researcher's workfare were done in an achieving efficient routing mechanism. In our work, we propose a token agent-based route planning protocol for achieving reliable routing. Vehicular ad hoc network (VANET) is advanced concept of the MANET. VANET can be performed in various smart cities, and it travels each city from source to destination. This token system consists of a token agent that monitors and operates the whole network. The tokens are responsible for collecting nodes activity details such as mobile node energy, node location, and speed. Later, its current and previous information is up-to-date and inmate to the token agent for further process in the network. Our proposed routing protocol is well applicable for typical application and a multimedia application. In order to transfer typical packets, our proposed scheme finds the shortest path based on the collect the information.

No abstract

No abstract

In this paper, a deep learning algorithm was proposed to ensure the voice call quality of the cellular communication networks. This proposed model was consecutively monitoring the voice data packets and ensuring the proper message between the transmitter and receiver. The phone sends its unique identification code to the station. The telephone and station maintain a constant radio connection and exchange packets from time to time. The phone can communicate with the station via analog protocol (NMT-450) or digital (DAMPS, GSM). Cellular networks may have base stations of different standards, which allow you to improve network performance and improve its coverage. Cellular networks are different operators connected to each other, as well as a fixed telephone network that allows subscribers of one operator to another to make calls from mobile phones to landlines and from landlines to mobiles. The simulation is conducted in Matlab against different performance metrics, that is, related to the quality of service metric. The results of the simulation show that the proposed method has a higher QoS rate than the existing method over an average of 97.35%.