A Large-Scale Urban Vehicular Network Framework for IoT in Smart Cities

Abstract

Gathering extensive public data from the IoT devices scattered throughout a city is a significant challenge in a smart city. In this paper, a novel urban vehicle network we call the location-based urban vehicle network (LUV), is proposed to perform the non-real time data gathering task in smart cities. Different from the most works in-vehicle networks, the empirical research on the real-life 8900 private cars trace data in Changsha, China, compels us to focus on the parked vehicles and the parking places, rather than on the moving cars and the urban roads. The location-based mechanism not only provides more reliable and predictable wireless connections but also dramatically simplifies the system topology. It ensures that the vehicle network deployed on an intricate metropolitan area reaches the desired scale for gathering data.