ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article An Origin-Centric Communication Scheme to Support Sink Mobility for Continuous Object Detection in IWSNs
Cited - time in scopus Download 8 time Share share facebook twitter linkedin kakaostory
Authors
Myung-Eun Kim, Cheonyong Kim, Yongbin Yim, Sang-Ha Kim, Young-Sung Son
Issue Date
2018-12
Citation
정보처리학회논문지 : 컴퓨터 및 통신 시스템, v.7 no.12, pp.301-312
ISSN
2287-5891
Publisher
한국정보처리학회 (KIPS)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.3745/KTCCS.2018.7.12.301
Project Code
18ZH1100, Distributed Intelligence Core Technology of Hyper-Connected Space, Son Young Sung
Abstract
In industrial wireless sensor networks, the continuous object detection such as fire or toxic gas detection is one of major applications. A continuous object occurs at a specific point and then diffuses over a wide area. Therefore, many studies have focused on accurately detecting a continuous object and delivering data to a static sink with an energy-efficient way. Recently, some applications such as fire suppression require mobile sinks to provide real-time response. However, the sink mobility support in continuous object detection brings challenging issues. The existing approaches supporting sink mobility are designed for individual object detection, so they establish one-to-one communication between a source and a mobile sink for location update. But these approaches are not appropriate for a continuous object detection since a mobile sink should establish one-to-many communication with all sources. The one-to-many communication increases energy consumption and thus shortens the network lifetime. In this paper, we propose the origin-centric communication scheme to support sink mobility in a continuous object detection. Simulation results verify that the proposed scheme surpasses all the other work in terms of energy consumption.
KSP Keywords
Challenging issues, Continuous Object, Existing Approaches, Fire suppression, Gas detection, Industrial Wireless Sensor Networks, Location update, Network LifeTime, Object detection, One-to-many, One-to-one