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Aoi Koizuka

dblp:180/3299 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Computer networks · 1 · 1 since 2021

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 · 44% Physical-layer communications · 44% Wireless sensing and localization · 13%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › iot networks › iot communication
iot device communication
0.512021
IoTorch: Reliable LED-to-Camera Communication Against Inter-Frame Gaps and Frame Drops · IEEE Trans. Mob. Comput. 2021
Physical-layer communications › optical wireless communication
LED-to-camera communication
0.512021
IoTorch: Reliable LED-to-Camera Communication Against Inter-Frame Gaps and Frame Drops · IEEE Trans. Mob. Comput. 2021

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

minimum-repetition transmission · 0.5acknowledgement mechanism · 0.5
YearPublicationVenuePosition
2021 IoTorch: Reliable LED-to-Camera Communication Against Inter-Frame Gaps and Frame Drops
abstract
LED-to-camera communication for smartphones promises to enable low-cost, small-size, and intuitive data access to Internet-of-things (IoT) devices. However, for fast and reliable communication under the rolling shutter effect, the packet losses caused by inter-frame gaps and frame drops must be dealt with. In this paper, we introduce LED-to-camera communication between a commercial smartphone and an IoT device with LED flashlight, where the user can intuitively acquire the desired data transmitted from the IoT device to the smartphone. Specifically, we present IoTorch, a fast and reliable LED-to-camera communication that efficiently prevents the packet losses. IoTorch consists of two core mechanisms: 1) a minimum-repetition one-way reliable transmission focusing on the periodicity of inter-frame gaps and 2) an acknowledgement mechanism to overcome frame drops by using a smartphone's built-in flash focusing on its delay characteristics. Additionally, we propose an optimization method to increase the throughput up to 2.92 kbps (i.e., 2.43 times faster than that of the state-of-the-art method that overcomes the inter-frame gaps). Furthermore, we realize a remote wake-up function by using the smartphone's flash as the data transmission trigger. To demonstrate the benefit of IoTorch, we present a sensor data viewer using Arduino and a smartphone console system on TelosB.
Yuki Hokazono, Aoi Koizuka, Guibing Zhu 0002, Makoto Suzuki, Yoshiaki Narusue, Hiroyuki Morikawa
IEEE Trans. Mob. Comput.2
2017 Demo: Illuminating the Data - A New Bridge between Things and Humans
Aoi Koizuka, Yuki Hokazono, Makoto Suzuki, Hiroyuki Morikawa
EWSN1