TY - GEN
T1 - CA4IOT
T2 - 2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012
AU - Perera, Charith
AU - Zaslavsky, Arkady
AU - Christen, Peter
AU - Georgakopoulos, Dimitrios
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Architecture
KW - Context awareness
KW - Context discovery and reasoning
KW - Internet of Things
KW - Middleware
KW - Semantic technology
KW - Sensing-as-a-service
KW - Sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84875551897&partnerID=8YFLogxK
U2 - 10.1109/GreenCom.2012.128
DO - 10.1109/GreenCom.2012.128
M3 - Conference contribution
SN - 9780769548654
T3 - Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012
SP - 775
EP - 782
BT - Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012
Y2 - 20 November 2012 through 23 November 2012
ER -