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In the last 20 years, most vehicles have seen a large increase in complexity of the electronic and software systems, e.g. the number of electronic control units (ECUs) increased to over 70 in many cars and connectivity to the Internet or over Bluetooth is possible. In combination, the increased complexity and a large attack surface due to the connectivity makes it necessary to investigate the security...
The devices running embedded applications tend to be battery-powered, and the energy efficiency of their operations is an important enabler for the wide adoption of the Internet-of-Things. Optimization of energy usage depends on modelling power consumption. A model-based simulation must consider parameters that depend on the device used, the operating system, and the distributed application under...
Smartphones provide applications that are increasingly similar to those of interactive desktop programs, providing rich graphics and animations. To simplify the creation of these interactive applications, mobile operating systems employ highlevel object-oriented programming languages and shared libraries to manipulate the device's peripherals and provide common userinterface frameworks. The presence...
The Internet of Things concept relies on physical objects being Internet-enabled. This paper describes a device to allow an object to be Internet-enabled using wired-Ethernet, using an inexpensive and power-efficient implementation based on a port of the Contiki operating system (for use with the Texas Instruments LM3S6965 processor). We demonstrate that it is possible to run the Contiki operating...
This paper proposes and studies an hibernation technique and optimal hibernation policies aimed at minimizing the power consumption, while allowing stateful processing and the adoption of more powerful nodes. To this purpose the paper models the energy trade-off for hibernating the system rather than putting it in a memory-retention sleep mode between two consecutive bursts of processing. Thanks to...
Wearable sensors are widely used for data collection in many applications. Ssensor nodes have also been applied for real-time applications, e.g. for ECG analysis or activity and fall detection. Processing of the sensor data is either done on an external device or on the node itself. While on-node processing reduces data rate and increases battery life, development and testing can be time-consuming...
In this study, every day activities are recognized from data collected using smartphones accelerometer sensors. Offline experiments are made to show that the presented method is user- and body position-independent. In addition, it is shown that the features used in the classification are not dependent on the calibration of the phone. The recognition models trained using the offline data are also tested...
iOS is Apple's mobile operating system and is presently used on the iPhone, iPad, and iPod Touch. The hardware platforms associated with the iOS operating system provide a powerful platform for sensor applications. In this paper, we provide a case study on the development of a digital multimeter (DMM) using an iPod Touch. The DMM case study addresses the major subsystems (hardware, software, and firmware)...
The hardware capability and software functionality of sensor networks have continuously evolved. Apart from the merits brought by technological advances, this rapid upgrading pace poses great challenges to make heterogeneous sensor node platforms interoperate with each other. In this work, a service-oriented Application Programming Interface (API) is proposed for wireless sensor networks to handle...
Wireless Sensor Networks (WSNs) are a valuable technology to support countless applications in different areas. Given the WSN nodes resource constrained characteristics, designing energy-aware applications, communication protocols and security mechanisms are critical. The operating system (OS) running on the WSN node also interferes with the node overall behavior, and its energy consumption. In this...
Monitoring sleep state and sending out alarm signal according to the state and the acute disease belong to the area of sleep basic research and prediction of outbreaks of diseases. The system includes: monitoring and analyzing the sleeper pulse's physiological parameters, the embedded computer judge whether or not the sleeper suffers acute disease(heart disease, cerebral haemorrhage, etc). If so,...
The paper suggests an operating system-based framework that provides a comprehensive approach for energy management in wireless sensor networks (WSNs). Differently from what proposed in the related literature, the suggested mechanisms decouple the logic behind energy management policies from their implementation. This novel approach allows WSN-users for easily developing their own management policy...
In this paper, a new and efficient method is proposed by using wireless sensor networks in on-line monitoring of large electrical equipment to solve the problems of existing on-line monitoring system that wiring too complicated, causing fault diagnosing, maintaining difficulty and so on. The features are described range from CC2431 system-on-chip to TinyOS which is a wireless sensor networks operating...
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