Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
MoteLab: a wireless sensor network testbed
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Iris: an architecture for cognitive radio networking testbeds
IEEE Communications Magazine
Distributed spectrum sensing in a cognitive networking testbed
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Performance evaluation of directional spectrum sensing using an over-the-air testbed
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
TARWIS: a testbed management architecture for wireless sensor network testbeds
Proceedings of the 7th International Conference on Network and Services Management
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Hi-index | 0.00 |
Cooperative sensing has been identified as a potential improvement for cognitive radios to perceive their radio environment. In the past, algorithms have been developed by analysis and simulations exclusively. With cheaper hardware experimental platforms have been used for evaluation purpose recently. Simulations lack realistic propagation models for radio transmission but are reproducible compared to experimental evaluation done by hand. The effects of reduced detection probability and false alarms are not realistic in these simulations. In this paper, we suggest a reusable and extendable automated testbed software and instructions for deployment of own testbeds. Primary users as well as secondary users with cooperating cognitive radios can be flexibly deployed in the testbed within seconds. The advantage is that a series of even long lasting measurements including automatic logging of results can be easily repeated. Results can be assessed on the fly during the ongoing evaluation by accessing debug output remotely. The testbed supports stationary, portable, and in the future mobile radio devices for flexible scenarios as well as monitoring devices for debugging. The testbed and the radio devices are validated by deploying primary and secondary user in a small scenario whose outcome was analyzed beforehand. The results are as predicted and show the usefulness of this approach.