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http://dx.doi.org/10.14400/JDC.2014.12.2.271

Sensor Node Control Considering Energy-Efficiency in Wireless Sensor Networks  

Park, Hee-Dong (Dept. of Information & Communication, Korea Nazarene University)
Publication Information
Journal of Digital Convergence / v.12, no.2, 2014 , pp. 271-276 More about this Journal
Abstract
The life-time and performance of a wireless sensor network is closely related to energy-efficiency of sensor nodes. In this paper, to increase energy-efficiency, each sensor node operates in one of three operational modes which are normal, power-saving, and inactive. In normal mode sensor nodes sense and transmit data with normal period, whereas sensor nodes in power-saving mode have three-times longer period. In inactive mode, sensor nodes do not sense and transmit any data, which makes the energy consumption to be minimized. Plus, the proposed algorithm can avoid unnecessary energy consumption by preventing transmitting duplicate sensed data. We implemented and simulated the proposed algorithm using Tiny OS based ZigbeX platfom and NS-2, respectively. Performance evaluation results show that the proposed algorithm can prolong sensor networks' lifespan by efficiently reducing energy consumption and its standard deviation of all sensor nodes.
Keywords
Wireless sensor network; Energy-efficiency; Normal mode; Power-saving mode; Inactive mode;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 I. Koutsopoulos, S. Stanczak, The Impact of Transmit Rate Control on Energy-Efficient Estimation in Wireless Sensor Networks, IEEE Transactions on Wireless Communications, Vol. 11, No. 9, pp. 3261-3271, 2012.   DOI   ScienceOn
2 R. Jurdak, A. G. Ruzzelli, G. M. P. O'Hare, Radio Sleep Mode Optimization in Wireless Sensor Networks, IEEE Transactions on Mobile Computing, Vol. 9, No. 7, pp. 955-968, July 2010.   DOI   ScienceOn
3 Jun-Pil Boo, Hyeon-Gyu Yang, Do-Hyeon Kim, Sensor Node Control Algorithm Based on TinyOS, The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 8, No. 4, pp. 1-8, 2008.
4 Kyoungbok Ji, Changhwa Kim, Sangkyung Kim, Implementation and Performance of Energy-efficient Node Management in Wireless Sensor Networks, Journal of the Korea Society for Simulation, Vol. 17, No. 4, pp. 123-131, 2008.   과학기술학회마을
5 Yangwei Wu, Xiang-Yang Li, YunHao Liu, Wei Lou, Energy-Efficient Wake-Up Scheduling for Data Collection and Aggregation, IEEE Transactions on Parallel and Distributed Systems, Vol. 21, No. 2, pp. 275-287, Feb. 2010.   DOI   ScienceOn
6 N. A. Pantazis, S. A. Nikolidakis, D. D. Vergados, Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey, IEEE Communications Surveys & Tutorials, Vol. 15, No. 2, pp. 551-591, 2013.   DOI   ScienceOn
7 B. M. Sadler, Fundamentals of Energy- Constrained Sensor Network Systems, IEEE Aerospace and Electronic System Magazine, Vol. 20, No. 8, pp. 17-35, 2005.   DOI   ScienceOn
8 V. Sharma, U. Mukherji, V. Joseph, S. Gupta, Optimal Energy Management Policies for Energy Harvesting Sensor Nodes, Vol. 9, No. 4, pp. 1326-1336, 2010.   DOI   ScienceOn
9 S. R. Madden, M. J. Franklin, J. M. Hellerstein, W. Hong, "TinyDB: An Acquisitional Query Processing System for Sensor Networks," ACM Transactions on Database Systems, Vol. 30, No. 1, pp. 122-173, Mar. 2005.   DOI   ScienceOn
10 Ruqiang Yan, Hanghang Sun, Yuning Qian, Energy-Aware Sensor Node Design with Its Application in Wireless Sensor Networks, IEEE Transactions on Instruments and Measurement, Vol. 62, No. 5, pp. 1183-1191, 2013.   DOI   ScienceOn