NDLI: An Adaptive Classified Data Aggregation Arithmetic for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Kai Lin Hai Zhao Zhenyu Yin Dingding Luo
Copyright Year	2007
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang (Kai Lin; Hai Zhao; Zhenyu Yin; Dingding Luo)
Abstract	Energy limitation is a crucial problem in wireless sensor networks. The researches show that the energy is mainly consumed during data transmission. However, data aggregation can make an optimization of the apperceiving data to constrain the redundancy data for avoiding unnecessary energy consumption. Generally, a sensor node is combined with diversified sensors, hence, it is unreasonable to collect and transmit the sensing data in same frequency. This paper proposed a kind of adaptive classified data aggregation arithmetic which can classify the different sensing data, control the transmission according to the dynamically threshold set, and complete the data aggregation by adjusting data quantity along the transmission path. Different sets of parameters were conducted in these experiments to test the property of sensor network adopting the proposed arithmetic. The experiment results have verified the efficient energy utilization.
Starting Page	2739
Ending Page	2742
File Size	258172
Page Count	4
File Format	PDF
ISBN	9781424413119
DOI	10.1109/WICOM.2007.680
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Constraint optimization Wireless sensor networks Information science Protocols Magnetic sensors Redundancy Data engineering Data communication Arithmetic Power engineering and energy
Content Type	Text
Resource Type	Article

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