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Youngtae Noh

Researcher at Inha University

Publications -  68
Citations -  1605

Youngtae Noh is an academic researcher from Inha University. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 16, co-authored 57 publications receiving 1293 citations. Previous affiliations of Youngtae Noh include University of California, Los Angeles & Cisco Systems, Inc..

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Journal ArticleDOI

VAPR: Void-Aware Pressure Routing for Underwater Sensor Networks

TL;DR: A robust soft-state routing protocol that supports opportunistic directional forwarding; and a new framework to attain loop freedom in static and mobile underwater networks to guarantee packet delivery are proposed.
Proceedings ArticleDOI

Pressure Routing for Underwater Sensor Networks

TL;DR: HydroCast is proposed, a hydraulic pressure based anycast routing protocol that exploits the measured pressure levels to route data to surface buoys and makes the following contributions: a novel opportunistic routing mechanism to select the subset of forwarders that maximizes greedy progress yet limiting co-channel interference.
Journal ArticleDOI

HydroCast: Pressure Routing for Underwater Sensor Networks

TL;DR: This paper makes the following contributions: a novel opportunistic routing mechanism to select the subset of forwarders that maximizes the greedy progress yet limits cochannel interference and an efficient underwater dead end recovery method that outperforms the recently proposed approaches.
Journal ArticleDOI

DOTS: A Propagation Delay-AwareOpportunistic MAC Protocol for MobileUnderwater Networks

TL;DR: This work proposes the delay-aware opportunistic transmission scheduling (DOTS) protocol, a protocol that uses passively obtained local information to increase the chances of concurrent transmissions while reducing the likelihood of collisions.
Proceedings ArticleDOI

DOTS: A propagation Delay-aware Opportunistic MAC protocol for underwater sensor networks

TL;DR: This work proposes the Delay-aware Opportunistic Transmission Scheduling (DOTS) algorithm that uses passively obtained local information to increase the chances of concurrent transmissions while reducing the likelihood of collisions.