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Adaptive Link Quality Estimation in Wireless Sensor Networks  

Lee, Jung-Wook (광운대학교 전자통신공학과)
Chung, Kwang-Sue (광운대학교 전자통신공학과)
Abstract
In the wireless sensor networks, power consumption and interference among the nodes can be reduced by using the transmission power control. Because link quality is changed by spatial and temporal effect, link failures are frequently occurred. In order to adapt to link quality variation, existing transmission power control schemes broadcast beacon messages periodically to neighbor nodes and control the transmission power dynamically. However, it can effect on the time and energy overhead according to period of transmission power control. In this paper, the dynamic method of transmission power control by the link quality variation and variable period are proposed. When a link quality is unstable, the control duty cycle is reduced and the link quality is agilely maintained. In contrast, when link quality is stable, the control period is increased and control overhead is decreased.
Keywords
Sensor Networks; transmission power control period; Reliability; Energy Efficiency;
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  • Reference
1 CC2420, 204 GHz IEEE 802.15.4 / ZigBee-readv RF Transceiver, Texas Instruments, 2008.
2 TELOSB. 2.4 GHz Mote Platform, Crossbow, 2007.
3 D. Son, B. Krishnamachari, and J. Heidemann, "Experimental Study of the Effects of Transmission Power Control and Blacklisting in Wireless Sensor Networks," In Proc. of IEEE Sensor and Ad Hoc Communications and Networks, pp.289-298, October 2004.
4 I. Khemapech, A. Miller, and I. Duncan, "A Survey of Transmission Power Control in Wireless Sensor Networks," In Proc. of Annual Postgraduate Symposium on The Convergence of Telecom-munications, Networking and Broadcasting, pp.15-20, June 2007.
5 S. Lin, J. Zhang, G. Zhou, L. Gu, J. A. Stankovic, and T. He, "ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks," In Proc. of ACM Conference on Embedded Networked Sensor Systems, pp.223-236, October 2006.
6 J. Jeong, D. Cullar, and J. Oh, "Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks," Technical Report No.UCB/EECS-2005-16, University of California at Berkeley, November 2005.
7 G. Hackmann, O. Chipara, and C. Lu, "Robust Topology Control for Indoor Wireless Sensor Networks," In Proc. of ACM Conference on Embedded Networked Sensor Systems, pp.57-70, November 2008.
8 M. Burkhart, P. Rickenbach, R. Wattenbofer, and A. Zollinger, "Does Topology Control Reduce Interference?," In Proc. of ACM International Symposium on Mobile Ad hoc Networking and Computing, pp.9-19, May 2004.
9 N. Li, J. Hou, and L. Sha, "Design and Analysis of an MST-Based Topology Control Algorithm," IEEE Transactions on Wireless Communications, vol.4, no.3, pp.1195-1206, May 2005.   DOI