NDLI: A Data Aggregation Transfer Protocol Based on Clustering and Data Prediction in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Lingjun Meng Huazhong Zhang Yun Zou
Copyright Year	2011
Abstract	The energy of wireless sensor networks is limited and the energy consumption of wireless communication takes most of the total energy consumption of sensor nodes. This paper proposes an energy-efficient data aggregation transfer protocol based on clustering and data prediction called DACP. In the initialization phase sensor network nodes send messages to sink node, then sink node divides entire networks into several clusters and elects cluster head nodes for each cluster. In the prediction phase sensor member nodes receive predicted data and compare it with sensed data to decide whether send it or not. In the data aggregation phase cluster head nodes aggregate sensed data received from cluster member nodes and decide to send it to sink node or not according to receiving predicted data. It is effective to reduce data transmission and improve the efficiency of data aggregation by data prediction. Simulation results demonstrate that the proposed protocol can significantly provide longer lifetime and prolong the life of every node to survive.
Starting Page	1
Ending Page	5
File Size	329567
Page Count	5
File Format	PDF
ISBN	9781424462506
ISSN	21619654
e-ISBN	9781424462520
DOI	10.1109/wicom.2011.6040376
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Energy consumption Wireless sensor networks Clustering algorithms Routing protocols Magnetic heads
Content Type	Text
Resource Type	Article

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