Analysis of key technologies for cognitive radio based wireless sensor networks

Jian Guang Jia*, Zun Wen He, Jing Ming Kuang, Hui Fen Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

Wireless sensor networks (WSNs) currently operate in the unlicensed industrial, scientific and medical (ISM) spectrum band. However, more and more wireless equipments make this band overcrowded. The tremendous growth in the applications of WSNs has posed great challenges for the precious radio electromagnetic spectrum resource. The limited wireless spectrum resource will be the bottleneck for the large-scale popularization of WSNs. By contrast, the utilization rate of licensed spectrum is very low, and some bands are actually never occupied. It is promising and also challenging for WSNs to adopt the cognitive radio (CR) technology to sense spectrum hole and utilize the vacant frequencies to improve the spectrum utilization rate and communication validity. On the basis of detailed analysis of the involved key technologies for CR-based WSNs, the related solutions are introduced. In addition, a new hardware structure of sensor node is proposed and energy-saving design strategies are discussed.

Original languageEnglish
Title of host publication2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
DOIs
Publication statusPublished - 2010
Event2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 - Chengdu, China
Duration: 23 Sept 201025 Sept 2010

Publication series

Name2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

Conference

Conference2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
Country/TerritoryChina
CityChengdu
Period23/09/1025/09/10

Keywords

  • Cognitive radio
  • Key technologies
  • Wireless sensor network

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