Low-power Distributed Data Storage in Wireless Sensor Networks
Design and Experimental Validation in the Internet of Things
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Sensor networks are a promising approach and a multi-disciplinary venture that combines computer networks, signal processing, software engineering, embedded systems, and statistics on the technology side. On the scientific applications side, they cover a large spectrum: safety and security of buildings or spaces, measuring traffic flows, environmental engineering, and ecology, to cite a few. Sensor networks also play an essential role in the era of the Internet of Things, as our personal mobile devices interact with sensor networks dispatched in the environment. Unfortunately, experimentation ...
Sensor networks are a promising approach and a multi-disciplinary venture that combines computer networks, signal processing, software engineering, embedded systems, and statistics on the technology side. On the scientific applications side, they cover a large spectrum: safety and security of buildings or spaces, measuring traffic flows, environmental engineering, and ecology, to cite a few. Sensor networks also play an essential role in the era of the Internet of Things, as our personal mobile devices interact with sensor networks dispatched in the environment. Unfortunately, experimentation of sensor networks quickly becomes a nightmare if the number of nodes to be installed exceeds a few dozens. SensLAB is a very large scale open wireless sensor network testbed, which deploys 1024 nodes over 4 interconnected sites and offers a reference tool for the wireless sensor network community. This book gives a comprehensive description of the Senslab platform through two relevant topics. The first topic covers IP connectivity in low-power smart objects and Internet of Things. The second topic covers distributed data storage techniques to reduce packet loss and energy consumption.
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