City Data Fusion: Sensor Data Fusion in the Internet of Things

TL;DR

This paper introduces a comprehensive framework for evaluating sensor data fusion in IoT-enabled smart cities, analyzing current research efforts and identifying key open issues in the field.

Contribution

It presents a detailed evaluation framework for sensor data fusion in IoT and surveys existing research efforts based on this framework.

Findings

Current sensor data fusion methods are evaluated against the framework.

The survey identifies major open research issues in sensor data fusion.

The framework highlights parameters critical for effective sensor data fusion in IoT.

Abstract

Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. We then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. Our main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.