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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/78973


    Title: Energy-efficient sensor data acquisition based on periodic patterns
    Authors: Lin, G.-R.;Fan, Y.-C.Chen, Kehchang .;Chen, Arbee L .P
    陳良弼
    Contributors: 資訊科學系
    Keywords: Acquisitions;Data collection;Data query;Data-acquisition algorithm;Energy efficient;Periodic pattern;Reducing energy consumption;Sensor data;Sensor network applications;Sensor readings;Statistic model;Computer systems;Data processing;Energy conservation;Query processing;Radio communication;Sensor networks;Sensor nodes;Telecommunication equipment;Wireless sensor networks
    Date: 2009
    Issue Date: 2015-10-16 15:33:40 (UTC+8)
    Abstract: Wireless sensor networks have received considerable attention in recent years and played an important role in data collection applications. Sensor nodes usually have limited supply of energy. Therefore, a major consideration for developing sensor network applications is to conserve the energy for sensor nodes. In this paper, we propose a novel energy-efficient data acquisition algorithm based on the periodic patterns derived from past sensor readings. Our key observation is that sensor readings often exhibit periodic patterns, e.g., the daily cycle of temperature readings, and the patterns provide opportunities for reducing energy consumption for sensor data acquisition. We exploit the patterns and use the patterns to build a statistic model for predicting sensor readings. In our approach, sensor data acquisition is needed only when acquired readings are unpredictable. Therefore the energy for sensor data acquisition and the associated radio communications can be conserved. The experiments performed with real data validate the effectiveness and efficiency of our approach. © 2009 IEEE.
    Relation: Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS,487-494
    Data Type: conference
    DOI link: http://dx.doi.org/10.1109/ICPADS.2009.58
    DOI: 10.1109/ICPADS.2009.58
    Appears in Collections:[Department of Computer Science ] Proceedings

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