Kansei: A High-Fidelity Sensing Testbed
IEEE Internet Computing
MoteLab: a wireless sensor network testbed
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
SignetLab: deployable sensor network testbed and management tool
Proceedings of the 4th international conference on Embedded networked sensor systems
Developing and deploying sensor network applications with AnduIN
Proceedings of the Sixth International Workshop on Data Management for Sensor Networks
An ambient intelligent body sensor network for e-Health applications
MEMEA '09 Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications
Wireless sensor networks for personal health monitoring: Issues and an implementation
Computer Communications
The Architecture and Characteristics of Wireless Sensor Network
ICCTD '09 Proceedings of the 2009 International Conference on Computer Technology and Development - Volume 01
DPLC: dynamic packet length control in wireless sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Sensei-uu: a relocatable sensor network testbed
Proceedings of the fifth ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
IEEE 802.15.4: a developing standard for low-power low-cost wireless personal area networks
IEEE Network: The Magazine of Global Internetworking
Risk-based adaptive security for smart IoT in eHealth
Proceedings of the 7th International Conference on Body Area Networks
Fabric: a system administrator's best friend
Linux Journal
Hi-index | 0.00 |
Wireless Body Area Sensor Networks (WBASNs) are networks of low-power sensing objects that collect and send vital signs of a patient using low-rate communication media. They have been originally created to improve the efficiency of e-health applications and they constitute now an important part of the Internet of Things (IoT) by bringing humans into the IoTs. The ASSET (Adaptive Security for Smart Internet of Things in eHealth) project [1] develops risk-based adaptive security methods and mechanisms for IoT in eHealth. The project requires a real-life testbed to evaluate accurately the adaptive security solutions in realistic simulation and use case scenarios. This paper describes the setup of a testbed for adaptive security for the IoT using current commercial off-the-shelf products and open source software. The particular features of the proposed testbed with regard to those published in the literature are underlined. The paper also discusses the validation of the setup through the study of the impact of antenna orientation on energy consumption. To this purpose, an estimation strategy of the energy consumption using the Holt-Winters prediction method has been developed. This will particularly be useful when studying the feasibility of the adaptive lightweight security solutions that will be part of the ASSET project.