H
Hui Cao
Researcher at Ohio State University
Publications - 11
Citations - 1643
Hui Cao is an academic researcher from Ohio State University. The author has contributed to research in topics: Wireless sensor network & Mobile wireless sensor network. The author has an hindex of 8, co-authored 10 publications receiving 1626 citations.
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Journal ArticleDOI
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Anish Arora,Prabal Dutta,Sandip Bapat,Vinod Kulathumani,Hongwei Zhang,Vinayak Naik,Vineet Mittal,Hui Cao,Murat Demirbas,Mohamed G. Gouda,Young-ri Choi,Ted Herman,Sandeep S. Kulkarni,Umamaheswaran Arumugam,Mikhail Nesterenko,Adnan Vora,Mark Miyashita +16 more
TL;DR: This paper studies the application of sensor networks to the intrusion detection problem and the related problems of classifying and tracking targets using a dense, distributed, wireless network of multi-modal resource-poor sensors combined into loosely coherent sensor arrays that perform in situ detection, estimation, compression, and exfiltration.
Proceedings ArticleDOI
ExScal: elements of an extreme scale wireless sensor network
Anish Arora,Rajiv Ramnath,Emre Ertin,Prasun Sinha,Sandip Bapat,Vinayak Naik,Vinod Kulathumani,Hongwei Zhang,Hui Cao,Mukundan Sridharan,Santosh Kumar,Nick Seddon,Christopher J. Anderson,Ted Herman,Nishank Trivedi,Mikhail Nesterenko,R.V. Shah,S. Kulkami,M. Aramugam,Limin Wang,Mohamed G. Gouda,Young-ri Choi,David E. Culler,Prabal Dutta,Cory Sharp,Gilman Tolle,Mike Grimmer,Bill Ferriera,Ken Parker +28 more
TL;DR: The key requirements of ExScal, the corresponding design of the hardware/software platform and application, and some results of the authors' experiments are overviewed.
Proceedings ArticleDOI
Kansei: a testbed for sensing at scale
Emre Ertin,Anish Arora,Rajiv Ramnath,Mikhail Nesterenko,Vinayak Naik,Sandip Bapat,Vinod Kulathumani,Mukundan Sridharan,Hongwei Zhang,Hui Cao +9 more
TL;DR: The elements of Kansei testbed architecture are presented, including its hardware and software platforms as well as its hybrid simulation and sensor data generation engines.
Proceedings ArticleDOI
O-MAC: A Receiver Centric Power Management Protocol
TL;DR: This work provides two new receiver scheduling methods, staggered on and pseudorandom staggered on, both of which are designed to exploit the untapped opportunity for greater receiver efficiency, and designs a new MAC protocol, called O-MAC, based upon pseudorRandom staggered on that achieves near optimal energy efficiency.
Proceedings ArticleDOI
Differential games in large-scale sensor-actuator networks
TL;DR: In this article, the authors adapt ideas from the theory of differential games to networked games, including ones involving nonperiodic track updates, message losses and message delays, to derive optimal strategies, bounds on the information requirements, and scaling properties of these bounds.