Spectral Sensing Method in the Radio Cognitive Context for IoT Applications

被引：5

作者：

Roncancio, Gina ^{[1
]}

Espinosa, Monica ^{[1
]}

Perez, Manuel R. ^{[2
]}

Trujillo, Luis C. ^{[2
]}

机构：

[1] Univ Santo Tomas, CEA IoT, Bogota, Colombia

[2] Pontifica Univ Javeriana, CEA IoT, Bogota, Colombia

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA) | 2017年

关键词：

Internet of Things (IoT); Cognitive Radio; Software-Defined Radio (SDR); Spectrum Sensing; SigFox; Cognitive Wireless Sensor Networks (CWSN);

D O I：

10.1109/iThings-GreenCom-CPSCom-SmartData.2017.116

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：756 / 761

页数：6

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