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ThinkMind // SENSORCOMM 2011, The Fifth International Conference on Sensor Technologies and Applications // View article sensorcomm_2011_8_20_10052


Energy Efficient 2-Tiers Weighted in-Sensor Data Cleaning

Authors:
Jacques Bahi
Abdallah Makhoul
Maguy Medlej

Keywords: Sensor Networks, periodic data aggregation, tree based algorithms, quality of information.

Abstract:
Managing efficiently the battery and power consumption became a major challenge in sensor networks. Data transmission is very costly in terms of energy which leads to think of a data cleaning technique in order to reduce the size of packets sent to the sink. However, the quality of the information should be preserved during the in-network transmission. This paper introduces a tree-based bi-level periodic data cleaning approach implemented on the source node and the aggregator levels. Our contribution in this paper is two folds. First we look on a periodic basis at each data measured and periodically clean it while taking into consideration the number of occurrences of the measures captured which we shall call weight. A data cleaning is performed between groups of nodes on the level of the aggregator which, contains lists of measures along with their weights. This algorithm will not tolerate the effect of the information that each data measurement provides by preserving the weight of each measure. The experimental results show the effectiveness of this technique in terms of energy efficiency and quality of the information by focusing on a periodical data cleaning while taking into consideration the weight of the data captured.

Pages: 197 to 202

Copyright: Copyright (c) IARIA, 2011

Publication date: August 21, 2011

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-144-1

Location: Nice/Saint Laurent du Var, France

Dates: from August 21, 2011 to August 27, 2011

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