Memorias de investigación
Communications at congresses:
A Hybrid Approach to Enhance Cognitive Wireless Sensor Networks with Energy-Efficient Software-Defined Radio Capabilities
Year:2017

Research Areas
  • Electronic technology and of the communications,
  • Radio telecommunications,
  • Electronic device

Information
Abstract
The loss of efficiency and dependability in wireless communications, caused by the increasing spectrum scarcity problem, is particularly critical for battery-powered devices such as sensor nodes. Cognitive Wireless Sensor Networks (CWSNs) arise in order to mitigate this situation by adding cognitive radio capabilities to them. However, the closed architecture and limited resources of traditional nodes represent a major constraint to perform certain required cognitive tasks. On the other hand, Software-Defined Radios (SDRs), which have the flexibility and performance needed to overcome the aforementioned limitations, currently have a power consumption too high for these networks. In this work, we propose a hybrid methodology of operation that consists of exploiting SDR technology only for those actions that strictly require its high flexibility, using traditional fixed hardware transceivers, which demand less node?s resources, for the remaining tasks. Then, we present the architecture and the main electronic components of a platform able to operate according to this methodology. This solution constitutes a significant reduction in power consumption compared with existing low-power SDRs, while maintaining the functionality needed for research in CWSNs.
International
Si
Congress
INTERNATIONAL CONFERENCE ON EMBEDDED WIRELESS SYSTEMS AND NETWORKS
960
Place
Uppsala, Suecia
Reviewers
Si
ISBN/ISSN
978-0-9949886-1-4
Start Date
20/02/2017
End Date
22/02/2017
From page
294
To page
299
EWSN ?17 Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: B105: Electronic Systems Lab
  • Departamento: Ingeniería Electrónica