UTFacultiesEEMCSDisciplines & departmentsPSEducationEvaluating B2X wireless communication with realistic traffic simulator in urban scenarios

Evaluating B2X wireless communication with realistic traffic simulator in urban scenarios

Smart Bikes: Evaluating B2X Wireless communication with realistic traffic simulator in urban scenarios

Problem Statement: 

Wireless communication would play a pivotal role in modern transportation systems, particularly in the context of emerging technologies like connected bicycles. However, evaluating the performance of wireless communication in mobility scenarios presents significant challenges.

Existing research predominantly focuses on vehicular mobility, neglecting the unique characteristics of bicycle mobility, which involve rapid changes in speed, direction, and density. This gap in research hinders the development of efficient and reliable communication systems tailored to bicycle networks. Therefore, there is a critical need to explore how wireless communication simulators can be interfaced with microscopic traffic simulators to accurately assess the performance of communication protocols in dynamic bicycle mobility scenarios.

Tasks: 

The proposed research aims to conduct a comprehensive literature review on interfacing wireless communication simulators with microscopic traffic simulators to evaluate wireless communication performance in mobility scenarios for bicycles. The primary objective is to investigate how the mobility of bicycles affects the performance and scalability of communication systems. The bachelor student will systematically review existing literature, identifying methodologies, tools, and metrics used in similar studies concerning vehicular mobility. Subsequently, the student will analyze the challenges and limitations of current approaches and propose potential solutions to address the specific requirements of bicycle mobility. Moreover, the student will explore some communication protocols and mobility models to understand their suitability for realistic bicycle mobility simulations.

Contact:  

Khalil Fredj (k.benfredj@utwente.nl