Catálogo de publicaciones - libros

Summary. This chapter describes a sensor network for signal processing and distributed computing. In such a network, the sensors do not necessarily transfer the collected data to the user right away but cooperate to inspect the data in a shorter time for the desired information conveying the result to the user. As an example, the computation of a system of linear equations is given performed on the newly introduced . The hardware design and the developed software are made freely available.

Summary. This chapter describes the .rst practical example for the wireless sensors described before. The idea is to equip a car with distance measurement sensors. The result of the distance measurements are displayed on mobile phone. The presented application is realized in JAVA and Python for S60.

Summary. High-end mobile communication devices integrate video cameras, color displays, high-speed data modems, net browsers, media players, and phones into small battery-powered packages. The physical size limits the heat dissipation, while the battery capacity needs to be used conservatively to provide for satisfactory untethered active use time. Together with the required versatile capabilities of the devices, the physical size and battery capacity are essential constraints that must be taken into account from hardware to application software design. In video decoding additional constraints come from the need to support multiple digital video coding standards, and the platform-oriented design regimes of the device manufacturers. Along these lines, we consider the implementations of video capabilities for mobile devices in a top-down manner starting from typical applications, progressing to energy efficiency analysis via device architectures to codec implementations, and software platforms.

Summary. This chapter shows how to perform energy consumption measurements on mobile phones. We refer to this method as measurement approach as we are interested only in the overall consumption of the mobile phone. With this approach it is not possible to give a detailed description of the energy consumption per entity such as display, memory, or others, but will be explained in the following chapter. On the other side this approach is platform-independent and can therefore be used for all battery-driven devices.

is an important application category in cyber-physical systems, and is a good canonical example of this application class. Such applications are interactive, dynamic, stream-based, computationally demanding, and needing real-time or near real-time guarantees. A control loop characterizes the behavior of this application class. ASAP is a scalable distributed architecture for a multi-modal sensor network that caters to the needs of this application class. Features of this architecture include (a) generation of cues that allow the infrastructure to pay to data streams of interest; (b) abstraction that allows easy integration of multi-modal sensing capabilities; and (c) dynamic redirection of sensor sources to distributed resources to deal with sudden burstiness in the application. In both empirical and emulated experiments, ASAP shows that it scales up to a thousand of sensor nodes (comprised of high bandwidth cameras and low bandwidth RFID readers), significantly mitigates infrastructure and cognitive overload, and reduces and due to its ability to integrate multi-modal sensing.