Woldegiorgis, Yared Berhanu; Abie, Habtamu; Hamdi, Mohamed
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  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.