Energy-Efficient Computing for Wildlife Tracking: Design Tradeoffs and Early Experiences with ZebraNet (2002)
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@MISC{Juang02energy-efficientcomputing,
author = {Philo Juang and Hidekazu Oki and Yong Wang and Margaret Martonosi and Li-shiuan Peh and Daniel Rubenstein},
title = {Energy-Efficient Computing for Wildlife Tracking: Design Tradeoffs and Early Experiences with ZebraNet},
year = {2002}
}
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Abstract
Over the past decade, mobile computing and wireless communication have become increasingly important drivers of many new computing applications. The eld of wireless sensor networks particularly focuses on applications involving autonomous use of compute, sensing, and wireless communication devices for both scienti c and commercial purposes. This paper examines the research decisions and design tradeos that arise when applying wireless peer-to-peer networking techniques in a mobile sensor network designed to support wildlife tracking for biology research.
