Practical modeling and prediction of radio coverage of indoor sensor networks

Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN '10

Volumn , Issue , 2010, Pages 339-349

  Chipara, Octav ^a   Hackmann, Gregory ^a   Lu, Chenyang ^a   Smart, William D ^a   Roman, Gruia Catalin ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

coverage; wireless propagation models; wireless sensor networks

Indexed keywords

COMPLEX MODEL; COVERAGE; COVERAGE PREDICTION; EMPIRICAL STUDIES; INDOOR ENVIRONMENT; LIMITED TRAINING DATA; LOG-NORMAL; MAPPING TOOLS; MODEL ACCURACY; NETWORK COVERAGE; PROPAGATION MODELS; RADIO COVERAGE; RADIO PROPAGATION; RADIO SIGNAL PROPAGATION; ROBUST OPERATION; SENSOR NETWORK APPLICATIONS; SIGNAL STRENGTHS; TWO-STEP PROCESS; WIRELESS COVERAGE; WIRELESS PROPAGATION;

COMMUNICATION CHANNELS (INFORMATION THEORY); DATA FLOW ANALYSIS; DATA PROCESSING; FORECASTING; RADIO WAVES; SENSOR NETWORKS; WALLS (STRUCTURAL PARTITIONS);

WIRELESS SENSOR NETWORKS;

EID: 77954486430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1791212.1791252     Document Type: Conference Paper

References (25)

1. J. Andersen, T. Rappaport, and S. Yoshida. Propagation measurements and models for wireless communications channels. IEEE Communications Magazine, 1995.
2. R. Bernhardt. Macroscopic diversity in frequency reuse radio systems. IEEE Journal on Selected Areas in Communications, 1987.
3. Y. Chen and A. Terzis. Calibrating rssi measurements for 802.15.4 radios. Technical report, John Hopkins University, 2009.
4. O. Chipara, C. Brooks, S. Bhattacharya, C. Lu, R. Chamberlain, G.-C. Roman, and T. C. Bailey. Reliable real-time clinical monitoring using sensor network technology. In AMIA, 2009.
5. M. D'Souza, T. Wark, and M. Ros. Wireless localisation network for patient tracking. In ISSNIP.
6. S. J. Fortune, D. M. Gay, B. W. Kernighan, O. Landron, R. A. Valenzuela, and M. H. Wright. Wise design of indoor wireless systems: Practical computation and optimization. IEEE Computational Science and Engineering, 1995.
7. D. Ganesan, B. Krishnamachari, A. Woo, D. Culler, D. Estrin, and S. Wicker. Complex behavior at scale: An experimental study of low-power wireless sensor networks. Technical report, UCLA Computer Science Department, 2002.
8. H. Hashemi. The indoor radio propagation channel. Proceedings of the IEEE, 1993.
9. J. Hwang, T. He, and Y. Kim. Exploring in-situ sensing irregularity in wireless sensor networks. In SenSys, 2007.
10. M. Iskander and Z. Yun. Propagation prediction models for wireless communication systems. IEEE Transactions on Microwave Theory and Techniques.
11. A. Krause, C. Guestrin, A. Gupta, and J. Kleinberg. Near-optimal sensor placements: maximizing information while minimizing communication cost. In IPSN, 2006.
12. H. Lee, A. Cerpa, and P. Levis. Improving wireless simulation through noise modeling. In IPSN, 2007.
13. 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, 2006.
14. J. McKown and R. Hamilton. Ray tracing as a design tool for radio networks. IEEE Network, 1991.
15. N. Reijers, G. Halkes, and K. Langendoen. Link layer measurements in sensor networks. In IEEE MASS.
16. J. Robinson, R. Swaminathan, and E. W. Knightly. Assessment of urban-scale wireless networks with a small number of measurements. In MobiCom, 2008.
17. K. Schaubach, N. Davis, and T. Rappaport. A ray tracing method for predicting path loss and delay spread in microcellular environments. In IEEE Vehicular Technology Conference, 1992.
18. S. Seidel, T. Rappaport, M. Feuerstein, K. Blackard, and L. Grindstaff. The impact of surrounding buildings on propagation for wireless in-building personal communications system design. In IEEE Vehicular Technology Conference, 1992.
19. D. Son, B. Krishnamachari, and J. Heidemann. Experimental study of the effects of transmission power control and blacklisting in wireless sensor networks. In IEEE SECON, 2004.
20. K. Srinivasan and P. Levis. RSSI is under appreciated. In EmNets, 2006.
21. T. Stoyanova, F. Kerasiotis, A. Prayati, and G. Papadopoulos. Evaluation of impact factors on rss accuracy for localization and tracking applications. In MobiWac, 2007.
22. A. Wood, J. Stankovic, G. Virone, L. Selavo, Z. He, Q. Cao, T. Doan, Y. Wu, L. Fang, and R. Stoleru. Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Network, 2008.
23. G. Zhou, T. He, S. Krishnamurthy, and J. A. Stankovic. Impact of radio irregularity on wireless sensor networks. In MobiSys, 2004.
24. G. Zhou, T. He, S. Krishnamurthy, and J. A. Stankovic. Models and solutions for radio irregularity in wireless sensor networks. ACM Transactions on Sensor Networks, 2006.
25. M. Zuniga and K. Bhaskar. An analysis of unreliability and asymmetry in low-power wireless links. ACM Transactions on Sensor Networks, 2007.