The increasing use of wireless networks and the constant miniaturization of electrical invasive/non-invasive devices have empow- ered the development of Wireless Body Area Networks (WBANs). A WBAN provides a continuous health monitoring of a patient without any constraint on his/her normal daily life activities. Many technologies have proved their efficiency in supporting WBANs applications, such as remote monitoring, biofeedback and assisted living by responding to their specific quality of service (QoS) requirements. Due to numerous available technologies, selecting the appropriate technology for a medical application is being a challenging task. In this paper, the different medical applications are presented. The most common technologies used in WBANs are highlighted. Finally, a matching between each application and the corresponding suitable technology is studied

The Micro Air Vehicle Link (MAVLink in short) is a communication protocol for unmanned systems (e.g., drones, robots). It specifies a comprehensive set of messages exchanged between unmanned systems and ground stations. This protocol is used in major autopilot systems, mainly ArduPilot and PX4, and provides powerful features not only for monitoring and controlling unmanned systems missions, but also for their integration into the Internet. However, there is no technical survey and/or tutorial in the literature that presents these features or explains how to make use of them. Most of the references are online tutorials and basic technical reports, and none of them presents a comprehensive and a systematic coverage of the protocol. In this paper, we address this gap, and we propose an overview of the MAVLink protocol, the difference between its versions, and its potential in enabling Internet connectivity to unmanned systems. We also discuss security aspects of MAVLink. To the best of our knowledge, this is the first technical survey and tutorial on the MAVLink protocol, which represents an important reference for unmanned systems users and developers.

Trust establishment in Vehicular Ad hoc Networks (VANETs) is a challenging task due essentially to the high speed of vehicles, the long distances and the network topology dynamics. Furthermore, applications context evolves quickly at the same time the lifetime validity of data messages is short. In this paper, we set up a new distributed trust computing framework tailored to VANETs characteristics and aiming to solve the aforementioned challenges. The proposed framework is based on the investigation of the direct experience between neighboring vehicles without using any recommendation system. We also propose a tier-based messages dissemination technique in order to efficiently detect eavesdropped messages and fake events. Each vehicle checks the authenticity of the received data messages, and maintains a trust value for each of its neighbors. We analytically model the trust metrics evolution of malicious vehicles. Extensive simulations are conducted to show the validity of the proposed model and evaluate the efficiency of the proposed trust computing framework.