DTR-filter: an efficient transmission scheme for real-time monitoring in wireless bulky sensor networks

Authors:
Yanli Qian;Jungmuk Kang;Jookyoung Kim;Jooki Min;Youngmi Kwon
Affiliations:
Department of Information Communications Engineering, Chungnam National University, Yuseong-gu, Daejeon, Korea;Department of Computer Science and Engineering, Chungnam National University, Yuseong-gu, Daejeon, Korea;Department of Information Communications Engineering, Chungnam National University, Yuseong-gu, Daejeon, Korea;Agency for Defense Development, Chungnam, Korea;Department of Information Communications Engineering, Chungnam National University, Yuseong-gu, Daejeon, Korea
Venue:
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Year:
2011

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Abstract

Wireless sensor networks basically assume the low duty-cycle data to be generated. But as the area of applications become wide, bulky sensor data might be generated and need to be transmitted. The sensor devices have limited resources in CPU, battery and memory capacity. As well as data transmission and reception are major factor of energy consumption in sensor nodes, network bandwidth may be easily overrun with bulk data transmission. So the reduction of data transmission is very important in bulky sensor data transmission. We proposed a data filtering algorithm, DTR-filter, to suppress the trivial value changes in transmission while encouraging the transmission of important event values. Our DTR-filter algorithm adaptively controls the filtering criteria. DTR-filter showed 53% of average reduction in data transmission while having 86% of correctness with original unfiltered data.