@inproceedings{ad06c4e9b9a5422a9beb97057ba19c27,
title = "Spectral sensing method in the radio cognitive context for IoT applications",
abstract = "This paper describes a spectral sensing method in the radio cognitive context for IoT applications. Due to the increasing number of Internet connected devices there are big challenges in terms of scalability, adaptability, connectivity, accessibility and reliability. The necessity to generate efficient methods to access into the wireless medium is currently a big concern. Several works have addressed this issue but few works details how spectrum sensing could really help to allocate dynamically the unlicensed frequency bands for IoT applications reducing the congestion and enabling the IoT technologies. The presented work shows the results obtained of the noise floor characterization in the frequency band for an IoT service such as the case of SigFox and gives insights about how SDR systems can be applied in the cognitive context for wireless networks in IoT.",
keywords = "Cognitive Radio, Cognitive Wireless Sensor Networks (CWSN), Internet of Things (IoT), SigFox, Software-Defined Radio (SDR), Spectrum Sensing",
author = "Gina Roncancio and M{\'o}nica Espinosa and P{\'e}rez, \{Manuel R.\} and Trujillo, \{Luis C.\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017 ; Conference date: 21-06-2017 Through 23-06-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/iThings-GreenCom-CPSCom-SmartData.2017.116",
language = "English",
series = "Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "756--761",
editor = "Yulei Wu and Geyong Min and Nektarios Georgalas and Ahmed Al-Dubi and Xiaolong Jin and Yang, \{Laurence T.\}",
booktitle = "Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017",
address = "United States",
}