Need to develop a VANET project in NS2

Job ID: 34145722

Budget: ₹37,500 – ₹75,000 INR

To develop a novel technique for optimizing the performance of four routing protocols namely, DSDV, FSR, AODV, and DSR when communicating among vehicles using different parameters for a VFC infrastructure.

The study is motivated by the fact that vehicles remain parked for a significant amount of time, and their powerful OBUs would contribute in amplifying fog-computing capability. The nearby vehicles can form an infrastructure, facilitating communication, computation and storage services to the end users. This is referred as Vehicular Fog Computing (VFC) infrastructure. This research investigates different VANET routing protocols and their performance when forwarding the TCP traffic among the parked vehicles that form a VFC infrastructure.

Objective 1: Convert the cloud-computing infrastructure to the fog-computing infrastructure to support latency-sensitive applications.
Objective 2: Design VFC infrastructure in terms of ensuring the optimal response time and resource utilization.
Objective 3: Develop algorithms to optimize the performance for the different routing protocols and execute the same in VFC infrastructure.

The research plans to conduct performance simulation and evaluation of DSDV, FSR, AODV, and DSR routing protocols under different vehicle density, parking durations of parked vehicles and vehicle speed. Considering the various reference papers listed in Literature survey section, we can conclude that AODV outperforms the other routing protocols when considering throughput, average end-to-end delay and PDR as performance metrics. Thereby, the research nominates the use of AODV to route packets in urban street environment. Another important finding discovered from the literature survey is that, in most cases none of the routing protocols ensures end-to-end delay less than 100 ms in a cloud-computing infrastructure. Therefore, we expect to design a VFC with IEEE 802.11p interface to reduce the delay from 100 ms to approximately 10 ms.