Abstract
There are many schemes to increase energy efficiency in wireless sensor network as energy is precious resource. We focus on improving energy efficiency in sensing module while most of the previous works focus on the energy saving in communication module. When a sensor network continuously senses wide area, energy consumption is needed largely in sensing module. We consider a change rate of sensed data and adjust sensing period to reduce energy consumption while minimizing average delay between change of field and detection. Additionally, cooperation among neighbor nodes is essential to reduce energy consumption and the delay. Our dynamic sensing algorithm reduces the energy consumption and delay between change of field and detection. Our scheme controls sensing cycle based on change of sensing data and sensing cycle of neighbor nodes. It improves energy efficiency up to 90%, and reduces the delay up to 84%, comparing to the previous works.
This research was supported by the Ubiquitous Computing and Network (UCN) Project, the Ministry of Information and Communication (MIC) 21st Century Frontier R&D Program in Korea and the MIC(Ministry of Information and Communication), Korea, under the ITFSIP (IT Foreign Specialist Inviting Program) supervised by the IITA(Institute of Information Technology Assessment).
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Lee, JA., Lee, DW., Kim, JH., Cho, WD., Pajak, J. (2007). A Dynamic Sensing Cycle Decision Scheme for Energy Efficiency and Data Reliability in Wireless Sensor Networks. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_22
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DOI: https://doi.org/10.1007/978-3-540-74171-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74170-1
Online ISBN: 978-3-540-74171-8
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