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MDM
2001
Springer

Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks

9 years 7 months ago
Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks
An system-level power management technique for massively distributed wireless microsensor networks is proposed. A power aware sensor node model is introduced which enables the embedded operating system to make transitions to different sleep states based on observed event statistics. The adaptive shutdown policy is based on a stochastic analysis and renders desired energy-quality scalability at the cost of latency and missed events. The notion of algorithmic transformations that improve the energy quality scalability of the data gathering network are also analyzed.
Amit Sinha, Anantha Chandrakasan
Added 30 Jul 2010
Updated 30 Jul 2010
Type Conference
Year 2001
Where MDM
Authors Amit Sinha, Anantha Chandrakasan
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