Focus on issues and principles in context awareness, sensor processing and software design (rather than sensor networks or HCI or particular commercial systems).
Designed as a textbook, with readings and lab problems in most chapters.
Focus on concepts, algorithms and ideas rather than particular technologies.
This book reviews challenges of pervasive computing, including limitations and variation of hardware and networks; sensing and making sense of the world around our computing devices, algorithm and data structure choice for the designer or programmer and more.Introduction.-Pointers on Experiments and Results.-Hardware for Pervasive Computing.-Networks.-Classification and Use of Content.-Error in Sensed Data.-Sources, Models and Use of Location.-Time Dependent Data.-Sensor Networking.-Index.
From the reviews:
Chalmers (Univ. of Sussex, UK) has written an interesting brief work related to smart phones, sensors, and other devices that are blending into the background and becoming invisible. & can serve as a useful guide for graduate student researchers. & The book could be used for an introduction to sensors course, a course in pervasive computing and research techniques, or an introduction to the area for research students. Summing Up: Recommended. Upper-division undergraduates and graduate students, as well as researchers in pervasive computing sensors. (C. Tappert, Choice, Vol. 49 (6), February, 2012)
Pervasive Computing is an important area in current computer science research and industrial development. It relates to smart phones, sensors and other computing devices which, by being sensitive to the user, are disappearing into the background of life. The computing systems challenges are significant and it is here (rather than on life or social sciences, interaction design, electronics or formal approaches) that this book focuses. Success requires considering a broad range of issuelS2