지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2009.1
- 수록면
- 56 - 64 (9page)
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초록· 키워드
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Size of sensor nodes which used in wireless sensor networks has been decreasing for its scalability,
mobility, and portability. This miniaturization of sensor node limits resources such as limited battery
power, processing speed, and memory space. In addition, limited resources reduce the lifetime of
wireless sensor networks. The advance of the lifetime is a very important part considered in wireless
sensor networks. However, most of the power consuming tasks are data transmission. Data compression
is one field of studies to resolve this problem. Thus, we analysis the benefit of compression techniques
according to packet loss probability. Compression techniques improves the performance and extends the
논문투고일자: 2009. 11. 2 심사일자: 2009. 11. 20 게재확정일자: 2009. 12. 11
【논 문 】한국차세대컴퓨팅학회 논문지 2009년 12월
57
life time of wireless sensor networks(WSNs). In our experiment, we evaluate the impact of data
compression depending on packet loss probability and data size. Experimental results describe that
compared to baseline(no compression), latency is decreased by 68ms and throughput is increased by
30% in case of packet loss probability of 40%. Therefore, applying compression techniques can reduce
latency and increase throughput than baseline. In addition, as the packet loss probability is increased,
we can achieve more enhancement in the perspective of latency and throughput by using compression
techniques.
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