P
Philip Levis
Researcher at Stanford University
Publications - 154
Citations - 21488
Philip Levis is an academic researcher from Stanford University. The author has contributed to research in topics: Wireless sensor network & Wireless network. The author has an hindex of 54, co-authored 149 publications receiving 20530 citations. Previous affiliations of Philip Levis include University of California, San Diego & University of Colorado Boulder.
Papers
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Proceedings ArticleDOI
TOSSIM: accurate and scalable simulation of entire TinyOS applications
TL;DR: TOSSIM, a simulator for TinyOS wireless sensor networks can capture network behavior at a high fidelity while scaling to thousands of nodes, by using a probabilistic bit error model for the network.
Journal ArticleDOI
The nesC language: a holistic approach to networked embedded systems
TL;DR: nesc (nesc) as mentioned in this paper is a programming language for networked embedded systems that represents a new design space for application developers and is used to implement TinyOS, a small operating system for sensor networks, as well as several significant sensor applications.
Proceedings ArticleDOI
Collection tree protocol
TL;DR: In this paper, the authors evaluate datapath validation and adaptive beaconing in CTP Noe, a sensor network tree collection protocol, on both interference-free and interference-prone channels.
Proceedings ArticleDOI
Practical, real-time, full duplex wireless
Mayank Jain,Jung-Il Choi,Taemin Kim,Dinesh Bharadia,Siddharth Seth,Kannan Srinivasan,Philip Levis,Sachin Katti,Prasun Sinha +8 more
TL;DR: Experimental results show that a re- design of the wireless network stack to exploit full duplex capability can result in significant improvements in network performance.
Book ChapterDOI
TinyOS: An Operating System for Sensor Networks
Philip Levis,Samuel Madden,Joseph Polastre,Robert Szewczyk,Kamin Whitehouse,Alec Woo,Jason Hill,Matt Welsh,Eric Brewer,David E. Culler +9 more
TL;DR: A qualitative and quantitative evaluation of the TinyOS system is provided, showing that it supports complex, concurrent programs with very low memory requirements and efficient, low-power operation.