5 Papers
69 Citations
Lili Wang is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Wireless sensor network & Node (networking). The author has an hindex of 5, co-authored 5 publications. Previous affiliations of Lili Wang include Beihang University.
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Papers
SolarStore: enhancing data reliability in solar-powered storage-centric sensor networks
Yong Yang,Lili Wang,Dong Kun Noh,Hieu Le,Tarek Abdelzaher +4 more
- 22 Jun 2009
TL;DR: Experiments show that SolarStore is successful in dynamically responding to variations in the environment in a manner that increases retrievable data under different node failure scenarios.
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Minimum Variance Energy Allocation for a Solar-Powered Sensor System
Dong Kun Noh,Lili Wang,Yong Yang,Hieu Le,Tarek Abdelzaher +4 more
- 04 Jun 2009
TL;DR: A probabilistic observation-based model for harvested solar energy is described, which accounts for both long-term tendencies and temporary environmental conditions, and a time-slot-based energy allocation scheme is developed to use the periodically harvested solar power optimally, while minimizing the variance in energy allocation.
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Diagnostic powertracing for sensor node failure analysis
Mohammad Maifi Hasan Khan,Hieu Le,Michael LeMay,Parya Moinzadeh,Lili Wang,Yong Yang,Dong Kun Noh,Tarek Abdelzaher,Carl A. Gunter,Jiawei Han,Xin Jin +10 more
- 12 Apr 2010
TL;DR: This paper introduces the tele-diagnostic powertracer, an in-situ troubleshooting tool that uses external power measurements to determine the internal health condition of an unresponsive host and the most likely cause of its failure.
AdaptSens: An Adaptive Data Collection and Storage Service for Solar-Powered Sensor Networks
Lili Wang,Yong Yang,Dong Kun Noh,Hieu Le,Jie Liu,Tarek Abdelzaher,Michael P. Ward +6 more
- 01 Dec 2009
TL;DR: Evaluation results show that AdaptSens minimizes the sum of all data losses when combining the energy, storage and node failure factors.
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Design, implementation, and evaluation of EnviroMic: A storage-centric audio sensor network
Liqian Luo,Qing Cao,Chengdu Huang,Lili Wang,Tarek Abdelzaher,John A. Stankovic,Michael P. Ward +6 more
TL;DR: The design, implementation, and evaluation of EnviroMic, a low-cost experimental prototype of a novel distributed acoustic monitoring, storage, and trace retrieval system designed for disconnected operation, demonstrate up to a four-fold improvement in effective storage capacity of the network compared to uncoordinated recording.