Practical control of transmission power for wireless sensor networks

Proceedings - International Conference on Network Protocols, ICNP

Volumn , Issue , 2012, Pages

  Fu, Yong ^a   Sha, Mo ^a   Hackmann, Gregory ^a   Lu, Chenyang ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMPUS BUILDINGS; LINK MODEL; ON-LINE PARAMETER ESTIMATIONS; PRACTICAL CONTROLS; REAL WORLD EXPERIMENT; REAL-WORLD; RESIDENTIAL ENVIRONMENT; TRACE DRIVEN SIMULATION; TRANSMISSION POWER; TRANSMISSION POWER CONTROL; WIRELESS SENSOR NETWORK (WSNS);

HOUSES; NETWORK PROTOCOLS; PARAMETER ESTIMATION;

WIRELESS SENSOR NETWORKS;

EID: 84874573408     PISSN: 10921648     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNP.2012.6459981     Document Type: Conference Paper

References (30)

1. 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF Transceiver, Texas Instruments.
2. http:/www.tinyos.neti.
3. Cc2420 data sheet. In http://www-inst.eecs. berkeley.edu/cs150/Documents/ CC2420pdf.
4. S. M. M. Alavi, M. J. Walsh, and M. J. Hayes. Robust distributed active power control technique for IEEE 802.15.4 wireless sensor networks A quantitative feedback theory approach. Control Engineering Practice, 17(7):805-814, 2009.
5. B. Zurita Ares, P. G. Park, C. Fischione, A. Speranzon, and K. H. Johansson. On Power Control for Wireless Sensor Networks: System Model, Middleware Component and Experimental Evaluation. In ECC, 2007, 2007.
6. D. Blough, M. Leoncini, and G. Resta. The k-neighbors approachto interference bounded and symmetric topology control in ad hoc networks. Mobile Computing, IEEE, 5 (9), 2006.
7. D. Blough, M. Leoncini, and G. Resta. Topology control with better radio models: Implications for energy and multi-hop interference. Performance Evaluation, 64(5), 2007.
8. C. A. Boano, N. Tsiftes, T. Voigt, J. Brown, and U. Roedig. The Impact of Temperature on Outdoor Industrial Sensornet Applications. IEEE Transactions on Industrial Informatics, 6(3):451-459, Aug. 2010.
9. M. Burkhart and P. V. Rickenbach. Does topology control reduce interference? In MobiHoc, 2004.
10. O. Chipara, G. Hackmann, C. Lu, W. D. Smart, and G.-C. Roman. Practical modeling and prediction of radio coverage of indoor sensor networks. In IPSN, 2010.
11. G. F. Franklin, J. D. Powell, and M. Workman. Digital Control of Dynamic Systems. Addison Wesley Longman, Inc., 1998.
12. Y. Gao, J. Hou, and H. Nguyen. Topology control for maintaining network connectivity and maximizing network capacity under the physical model. INFOCOM 2008, 2008.
13. G. Grimm, A. Teel, and L. Zaccarian. The 12 anti-windup problem for discrete-time linear systems: Definition and solutions. Systems &Control Letters, 57(4):356-364, 2008. (Pubitemid 351232072)
14. G. Hackmann, O. Chipara, and C. Lu. Robust topology control for indoor wireless sensor networks. In SenSys, page 57, New York, New York, USA, Nov. 2008. ACM Press.
15. G. Herrmann, M. Turner, and I. Postlethwaite. Discrete-time and sampled-data anti-windup synthesis: stability and performance. International Journal of Systems Science, 37(2):91-113, 2006. (Pubitemid 43245748)
16. L. Li, J. Halpern, P. Bahl, and Y. Wang. Analysis of a cone-based distributed topology control algorithm for wireless multi-hop networks. In PODC, 2001.
17. N. Li, J. Hou, and L. Sha. Design and analysis of an MST-based topology control algorithm. IEEE Transactions on Wireless Communications, 4(3):1195-1206, 2005. (Pubitemid 40683187)
18. S. Lin, J. Zhang, G. Zhou, L. Gu, J. A. Stankovic, and T. He. ATPC: adaptive transmission power control for wireless sensor networks. In SenSys, Oct. 2006.
19. S. Lin, G. Zhou, K. Whitehouse, Y. Wu, J. Stankovic, and T. He. Towards stable network performance in wireless sensor networks. In RTSS '09, pages 227-237. IEEE, 2009.
20. N. Pantazis and D. Vergados. A survey on power control issues in wireless sensor networks. IEEE Communications Surveys & Tutorials, 9(4):86-107, 2007.
21. J. Polastre, R. Szewczyk, and D. Culler. Telos: Enabling ultra-low power wireless research. In IPSN, 2005.
22. P. Santi. Topology control in wireless ad hoc and sensor networks. ACM Computing Surveys (CSUR), 37(2):164-194, 2005. (Pubitemid 41527576)
23. D. Son, B. Krishnamachari, and J. Heidemann. Experimental study of the efects of transmission power control and blacklisting in wireless sensor networks. In IEEE SECON, 2004.
24. K. Srinivasan, P. Dutta, A. Tavakoli, and P. Levis. An empirical study of low power wireless. In ACM Transactions on Sensor Networks, 2010.
25. K. Srinivasan, M. A. Kazandjieva, S. Agarwal, and P. Levis. The β- factor: measuring wireless link burstiness. In SenSys, page 29, New York, New York, USA, Nov. 2008. ACM Press.
26. Theodore S. Rappaport. Wireless Communications - Principles And Practice, 2/e . Pearson Education, 2009.
27. M. J. Walsh, S. M. M. Alavi, and M. J. Hayes. Practical assessment of hardware limitations on power aware wireless sensor networks-An anti-windup approach. International Journal of Robust and Nonlinear Control, 20(2):194-208, Jan. 2010.
28. K . . Witheephanich and M. J . . Hayes. On the applicability of model predictive power control to an IEEE 802.15.4 wireless sensor network. In ISSC 2009, IET Irish, 2009.
29. K. Witheephanich, J. Escaiño, and M. Hayes. Explicitly constrained generalised predictive control strategies for power management in ambulatory wireless sensor network systems. In ACC, 2010.
30. M. Zuniga and B. Krishnamachari. Analyzing the transitional region in low power wireless links. In IEEE SECON, 2004.