Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication

TL;DR

This paper introduces a resource-efficient, context-aware framework for transmitting vehicular sensor data, optimizing connectivity hotspots to support intelligent traffic systems amidst increasing IoT data traffic over cellular networks.

Contribution

It presents an open-source transmission scheme that leverages channel characteristics and hotspots, validated through real-world vehicular experiments.

Findings

Effective data transmission at connectivity hotspots

Significant resource efficiency improvements

Real-world validation of the transmission scheme

Abstract

Upcoming Intelligent Traffic Control Systems (ITSCs) will base their optimization processes on crowdsensing data obtained for cars that are used as mobile sensor nodes. In conclusion, public cellular networks will be confronted with massive increases in Machine-Type Communication (MTC) and will require efficient communication schemes to minimize the interference of Internet of Things (IoT) data traffic with human communication. In this demonstration, we present an Open Source framework for context-aware transmission of vehicular sensor data that exploits knowledge about the characteristics of the transmission channel for leveraging connectivity hotspots, where data transmissions can be performed with a high grade if resource efficiency. At the conference, we will present the measurement application for acquisition and live-visualization of the required network quality indicators and show how the transmission scheme performs in real-world vehicular scenarios based on measurement data obtained from field experiments.