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Hyung Kim

dblp:23/4525 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 50% Edge and fog computing · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Edge and fog computing › edge data management › edge storage
data placement
0.012003
Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks · MobiSys 2003
Internet of things and sensor networks
wireless sensor network
0.012003
Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks · MobiSys 2003
Energy-efficient computing › power management
energy-efficient networking
0.012003
Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks · MobiSys 2003

Methods — techniques the papers use, named apart from their topics

simulation · 0.1distributed application-layer service · 0.1
YearPublicationVenuePosition
2003 Energy-Conserving Data Placement and Asynchronous Multicast in Wireless Sensor Networks
abstract
In recent years, large distributed sensor networks have emerged as a new fast-growing application domain for wireless computing. In this paper, we present a distributed application-layer service for data placement and asynchronous multicast whose purpose is power conservation. Since the dominant traffic in a sensor network is that of data retrieval, (i) caching mutable data at locations that minimize the sum of request and update traffic, and (ii) asynchronously multicasting updates from sensors to observers can significantly reduce the total number of packet transmissions in the network. Our simulation results show that our service subsequently reduces network energy consumption while maintaining the desired data consistency semantics.
Sagnik Bhattacharya, Hyung Kim, Kumar Shashi Prabh, Tarek F. Abdelzaher
MobiSys2