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Reducing domestic energy consumption has a long, varied history, embracing pervasive computing, technology, sociology, and economics. The authors provide an overview and key references to help readers explore this rich field's background more deeply and broadly.
While a number of acoustic localisation systems have been proposed over the last few decades, these have typically either relied on expensive dedicated microphone arrays and workstation-class processing, or have been developed to detect a very specific type of sound in a particular scenario. However, as people live and work indoors, they generate a wide variety of sounds as they interact and move...
We present an efficient CDMA detection core suited for multiuser indoor acoustic positioning. An ultrasonic multi-code despreader is proposed, allowing simultaneous broadband acoustic ranging signals to be processed in real time by embedded sensors. The ranging performance is characterised using a dataset gathered from a real deployment of ultrasonic devices and is shown to be favourable. The proposed...
A number of wireless sensor network (WSN) applications require the handling of high-fidelity data (such as audio or images), and/or are very bursty in their networking and processing activity (i.e. there are long periods of inactivity interrupted by short periods where lots of data is processed and/or communicated). Sensor node platforms which can support such bursty or high-fidelity sensor data are...
Declining enrollments in computer science and related fields are a global concern. This issue's column, by Mike Hazas and Rebecca Marsden of Lancaster University in the UK, describes the novel Lancaster Headstart program that uses the excitement of pervasive computing to attract students into computer science.
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