13 Papers
96 Citations
Yan Yu is an academic researcher from University of Southern California. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 7, co-authored 13 publications. Previous affiliations of Yan Yu include Google.
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Papers
•Journal Article
Networking Issues in Wireless Sensor Networks
TL;DR: The key networking challenges in sensor networks that are discussed are: (a) supporting multi-hop communication while limiting radio operation to conserve power, (b) data management, including frameworks that support attribute-based data naming, routing and in-network aggregation, and (c) geographic routing challenges in networks where nodes know their locations.
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Diffusion Filters as a Flexible Architecture for Event Notification in Wireless Sensor Networks
John Heidemann,Fabio Silva,Yan Yu,Deborah Estrin,Padmaparna Haldar +4 more
- 01 Jan 2002
TL;DR: The diffusion filter architecture is described, a software structure for a distributed event system that allows user-supplied software to interact with event routing and scales from 16to 32-bit computers with OS support for single or multiple address spaces.
Synthetic Data Generation to Support Irregular Sampling in Sensor Networks
Lewis Girod,Ramesh Govindan,Deepak Ganesan,Deborah Estrin,Yan Yu +4 more
- 30 Aug 2004
TL;DR: This paper proposes to use synthetic data generation techniques to generate irregular data topology from data sets measured on a grid, and investigates the use of the available sparsely sampled data sets, model the spatio-temporal correlation in these data set, and generate irregular topology data based on empirical models of the experimental data.
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•Journal Article
Task Allocation for Event-Aware Spatiotemporal Sampling of Environmental Variables
Maxim A. Batalin,Gaurav S. Sukhatme,William J. Kaiser,Yan Yu,Richard Pon,Jason Gordon,Mohammad Rahimi,Gregory J. Pottie,Deborah Estrin +8 more
TL;DR: In this article, a new approach, Networked Infomechanical System (NIMS), has been introduced to combine autonomous-articulated and static sensor nodes enabling sufficient spatio-temporal sampling density over large transects to meet a general set of environmental mapping demands.
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Task allocation for event-aware spatiotemporal sampling of environmental variables
Maxim A. Batalin,Gaurav S. Sukhatme,Yan Yu,Richard Pon,Jason Gordon,Mohammad Rahimi,William J. Kaiser,Gregory J. Pottie,Deborah Estrin +8 more
- 05 Dec 2005
TL;DR: The results show that both policies are adequate for the task of spatiotemporal sampling, but also complement each other, and suggest the future direction of research that would both help us better quantify the performance of the system and create more complex policies.