ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Adaptive Dual Prediction Scheme Based on Sensing Context Similarity for Wireless Sensor Networks
Cited 2 time in scopus Download 21 time Share share facebook twitter linkedin kakaostory
저자
허태욱, 김현학, 고정길, 도윤미, 박종준, 전종암, 최훈
발행일
201403
출처
Electronics Letters, v.50 no.6, pp.467-469
ISSN
0013-5194
출판사
IET
DOI
https://dx.doi.org/10.1049/el.2014.0165
협약과제
13VB1600, 스마트&그린 빌딩용 자가충전 지능형 센서노드 플랫폼 핵심기술 개발, 권종기
초록
A novel adaptive dual-prediction scheme is introduced for minimising the data communication load for wireless sensor networks as a way to maximise the lifetime of resource-limited sensor nodes. Specifically, the proposed scheme exposes the fact that when sensing context prediction is used at both the sink node and the sensor nodes, the amount of data that need to be transmitted can be minimised. Furthermore, the transmission data quantity is reduced even more by exploiting the spatial correlation among different sensor nodes. On using this adaptive dual prediction scheme, the evaluations show that the amount of data transmissions can be compressed by as much as 20% against a basic dual prediction scheme, suggesting that the lifetime of sensor nodes can increase significantly in practical systems. © The Institution of Engineering and Technology 2014.
KSP 제안 키워드
As 2, Data quantity, Sensor node, Sink node, Wireless sensor networks(WSNs), communication load, context prediction, context similarity, data communication, dual prediction scheme, spatial correlation