@INPROCEEDINGS{C004, 
author={Perera, C. and Zaslavsky, A. and Christen, P. and Georgakopoulos, D.}, 
booktitle={Green Computing and Communications (GreenCom), 2012 IEEE International Conference on}, 
title={CA4IOT: Context Awareness for Internet of Things}, 
year={2012}, 
pages={775-782}, 
abstract={Internet of Things (IoT) will connect billions of sensors deployed around the world together. This will create an ideal opportunity to build a sensing-as-a-service platform. Due to large number of sensor deployments, there would be number of sensors that can be used to sense and collect similar information. Further, due to advances in sensor hardware technology, new methods and measurements will be introduced continuously. In the IoT paradigm, selecting the most appropriate sensors which can provide relevant sensor data to address the problems at hand among billions of possibilities would be a challenge for both technical and non-technical users. In this paper, we propose the Context Awareness for Internet of Things (CA4IOT) architecture to help users by automating the task of selecting the sensors according to the problems/tasks at hand. We focus on automated configuration of filtering, fusion and reasoning mechanisms that can be applied to the collected sensor data streams using selected sensors. Our objective is to allow the users to submit their problems, so our proposed architecture understands them and produces more comprehensive and meaningful information than the raw sensor data streams generated by individual sensors.}, 
keywords={Internet of Things;sensor fusion;CA4IOT architecture;Internet of Things;IoT;automated configuration;context awareness;filtering mechanisms;fusion mechanisms;information sensing;reasoning mechanisms;sensing-as-a-service platform;sensor data streams;sensor deployments;sensor hardware technology;Cognition;Computer architecture;Context;Internet;Middleware;Semantics;Sensors;Architecture;Context Awareness;Context Discovery and Reasoning;Internet of Things;Middleware;Semantic Technology;Sensing-as-a-Service;Sensor Networks}, 
doi={10.1109/GreenCom.2012.128},}