Wireless Fidelity (Wi-Fi) broadband network technology has created great influence in the evolution of broadband wireless networks that are anticipated to progress regarding broadband speed and coverage. Several Wi-Fi hotspots are available everywhere, making it a medium of internet access that is easier to use compared to a local area network (LAN). However, the internet being the best effort network doesn’t provide the required Quality of Service (QoS) and there is no differentiation of service traffic. The chief aim of the current paper is to study the operation of the three organizing mechanisms: First-In, First-Out (FIFO) method – the standard method of network implementation to process the packets one by one as it arrives, Priority Queuing (PQ) and Weighted Fair Queuing (WFQ) whereas PQ and WFQ classify the types of traffic based on service priority. In addition, WFQ assigns fair weight to each service on multiple traffic classes like video conferencing, Voice over Internet Protocol (VoIP), and File Transfer Protocol (FTP), using Telkom ST3’s Wi-Fi network. This study applies four different scenarios: the first scenario applies the methods without any queuing discipline; the second scenario implements the methods with FIFO; the third scenario carries out the methods with PQ and the last scenario applies the methods with WFQ. The studies have shown that “end-to-end packet delay and packet delay variation for VoIP in the WFQ scenario” is good when compared to other queuing mechanisms with values of 171.717 ms and 0.977 ms, respectively. In the case of videotape conferencing also, the performance is better in the case of WFQ with values of 32.495 ms and 7.207 ms, correspondingly, since the WFQ has a “bandwidth allocation” tailored to the requirements

Vehicular Ad-hoc Network (VANET) is a highly trending communication technology and it is developed mainly to handle complicated futuristic environment in the intelligent transportation system (ITS) based applications. In the vehicular network the communication is performed by transmitting the control messages through the roadside units (RSUs) and that leads to increase the communication capacities of the vehicles. In an urban environment recent times the development of vehicles are huge and that leads to the increase of lack of connectivity and other traffic issues among the vehicles which directly affects the communication quality. For that purpose in this article Scalable and robust Mobility Prediction with Traffic Management Strategy in VANETs (SRMPT-VANETs) are developed. This method perform two operation namely effective predictive information gathering and traffic management strategy that helps to control the traffic and to predict the high speed mobility in an effective manner. As the results the communication quality of the urban environment can be improvised. The implementation of this method is done in OMNET++ and as well the matrices which are in use for the performance analysis are The essential metrics to consider are energy efficiency, delay, routing overhead, and packet delivery ratio. In the final step of the study, results are compared to those obtained using reference methods such as the ICFDB-VANET and the RSUCI-VANETs. The results show that the proposed method improves upon the state-of-the-art by 17% in terms of packet delivery ratio and 20% in terms of energy efficiency.