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Radio link quality estimation in wireless sensor networks: A survey

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Abstract

Radio link quality estimation in Wireless Sensor Networks (WSNs) has a fundamental impact on the network performance and also affects the design of higher-layer protocols. Therefore, for about a decade, it has been attracting a vast array of research works. Reported works on link quality estimation are typically based on different assumptions, consider different scenarios, and provide radically different (and sometimes contradictory) results. This article provides a comprehensive survey on related literature, covering the characteristics of low-power links, the fundamental concepts of link quality estimation in WSNs, a taxonomy of existing link quality estimators, and their performance analysis. To the best of our knowledge, this is the first survey tackling in detail link quality estimation in WSNs. We believe our efforts will serve as a reference to orient researchers and system designers in this area.

References

  1. Aguayo, D., Bicket, J., Biswas, S., Judd, G., and Morris, R. 2004. Link-level measurements from an 802.11b mesh network. SIGCOMM Comput. Comm. Rev. 34, 4, 121--132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Baccour, N., Koubâa, A., Ben Jamaa, M., Youssef, H., Zuniga, M., and Alves, M. 2009. A comparative simulation study of link quality estimators in wireless sensor networks. In Proceedings of the 17th IEEE/ACM International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS '09). IEEE, 301--310.Google ScholarGoogle Scholar
  3. Baccour, N., Koubâa, A., Jamaa, M. B., do Rosário, D., Youssef, H., Alves, M., and Becker, L. B. 2011. Radiale: A framework for designing and assessing link quality estimators in wireless sensor networks. Ad Hoc Netw. 9, 7, 1165--1185. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Baccour, N., Koubâa, A., Youssef, H., Ben Jamaa, M., do Rosário, D., Alves, M., and B. Becker, L. 2010. F-LQE: A fuzzy link quality estimator for wireless sensor networks. In Proceedings of the 7th European Conference on Wireless Sensor Networks (EWSN'10). Springer, 240--255. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Bannister, K., Giorgetti, G., and Gupta, S. K. 2008. Wireless sensor networking for hot applications: Effects of temperature on signal strength, data collection and localization. In Proceedings of the 5th Workshop on Embedded Networked Sensors (HotEmNets'08).Google ScholarGoogle Scholar
  6. Boano, C. A., Brown, J., Tsiftes, N., Roedig, U., and Voigt, T. 2010a. The impact of temperature on outdoor industrial sensornet applications. IEEE Trans. Industr. Inf. 6, 3, 451--459.Google ScholarGoogle ScholarCross RefCross Ref
  7. Boano, C. A., Voigt, T., Dunkels, A., Osterlind, F., Tsiftes, N., Mottola, L., and Suarez, P. 2009. Poster abstract: Exploiting the LQI variance for rapid channel quality assessment. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN '09). IEEE Computer Society, 369--370. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Boano, C. A., Voigt, T., Noda, C., Römer, K., and Zúñiga, M. A. 2011. JamLab: Augmenting sensornet testbeds with realistic and controlled interference generation. In Proceedings of the 10th International Conference on Information Processing in Sensor Networks (IPSN '11). ACM Press, 175--186.Google ScholarGoogle Scholar
  9. Boano, C. A., Voigt, T., Tsiftes, N., Mottola, L., Römer, K., and Zúñiga, M. A. 2010b. Making sensornet MAC protocols robust against interference. In Proceedings of the 7th European Conference on Wireless Sensor Networks (EWSN '10). Springer, 272--288. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Boano, C. A., Zuniga, M., Voigt, T., Willig, A., and Römer, K. 2010c. The triangle metric: Fast link quality estimation for mobile wireless sensor networks. In Proceedings of the 19th International Conference on Computer Communications and Networks (ICCCN '10). IEEE, 1--7.Google ScholarGoogle Scholar
  11. Brown, J., McCarthy, B., Roedig, U., Voigt, T., and Sreenan, C. J. 2011. Burstprobe: Debugging time-critical data delivery in wireless sensor networks. In Proceedings of the 8th European Conference on Wireless Sensor Networks (EWSN '11). Springer, 195--210. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. BTNode. www.btnode.ethz.ch.Google ScholarGoogle Scholar
  13. Cerpa, A., Busek, N., and Estrin, D. 2003. Scale: A tool for simple connectivity assessment in lossy environments. Tech. rep.Google ScholarGoogle Scholar
  14. Cerpa, A. and Estrin, D. 2004. ASCENT: Adaptive self-configuring sensor networks topologies. IEEE Trans. Mobile Comput. 3, 3, 272--285. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Cerpa, A., Wong, J. L., Kuang, L., Potkonjak, M., and Estrin, D. 2005a. Statistical model of lossy links in wireless sensor networks. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN '05). IEEE Press, 81--88. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Cerpa, A., Wong, J. L., Potkonjak, M., and Estrin, D. 2005b. Temporal properties of low power wireless links: Modeling and implications on multihop routing. In Proceedings of the 6th International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc '05). ACM, 414--425. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Chipcon AS. 2007. CC2420 datasheet - 2.4 GHz IEEE 802.15.4/ZigBee-Ready RF Transceiver (Rev. B). Chipcon AS.Google ScholarGoogle Scholar
  18. Chowdhury, K. R. and Akyildiz, I. F. 2009. Interferer classification, channel selection and transmission adaptation for wireless sensor networks. In Proceedings of the International Conference on Communication (ICC '09). IEEE, 1--5. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Couto, D. S. J. D., Aguayo, D., Bicket, J., and Morris, R. 2003. A high-throughput path metric for multihop wireless routing. In Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (MobiCom '03). ACM, 134--146. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Dutta, P., Dawson-Haggerty, S., Chen, Y., Liang, C.-J. M., and Terzis, A. 2010. Design and evaluation of a versatile and efficient receiver-initiated link layer for low-power wireless. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys '10). ACM, 1--14. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Dyer, M., Beutel, J., Thiele, L., Kalt, T., Oehen, P., Martin, K., and Blum, P. 2007. Deployment support network—A toolkit for the development of WSNs. In Proceedings of the 4th European Conference on Wireless Sensor Networks (EWSN '07). Springer, 195--211. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Fairhurst, G. and Wood, L. 2002. Rfc 3366 : Advice to link designers on link automatic repeat request (arq). Tech. rep. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Fonseca, R., Gnawali, O., Jamieson, K., and Levis, P. 2007. Four bit wireless link estimation. In Proceedings of the 6th International Workshop on Hot Topics in Networks (HotNets VI). ACM SIGCOMM.Google ScholarGoogle Scholar
  24. Ganesan, D., Krishnamachari, B., Woo, A., Culler, D., Estrin, D., and Wicker, S. 2002. Complex behavior at scale: An experimental study of low-power wireless sensor networks. Tech. rep.Google ScholarGoogle Scholar
  25. Gnawali, O., Fonseca, R., Jamieson, K., Moss, D., and Levis, P. 2009. Collection tree protocol. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems (SenSys '09). ACM, 90--100. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Goldsmith, A. 2005. Wireless Communications. Cambridge University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Gomez, C., Boix, A., and Paradells, J. 2010. Impact of LQI-based routing metrics on the performance of a one-to-one routing protocol for IEEE 802.15.4 multihop networks. EURASIP J. Wirel. Comm. Netw. 2010, 6:1--6:20. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Goyal, M. 2010. Mechanisms to support point-to-point routing in low power and lossy networks. Tech. rep.Google ScholarGoogle Scholar
  29. Huang, G. J., Xing, G., Zhou, G., and Zhou, R. 2010. Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance. In Proceedings of the 18th IEEE International Conference on Network Protocols (ICNP '10). IEEE, 305--314. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. IEEE 802.15.4 Standard. 2003. http://standards.ieee.org/getieee802/download/802.15.4-2003.pdf.Google ScholarGoogle Scholar
  31. Incel, O. D., Dulman, S., Jansen, P., and Mullender, S. 2006. MultiChannel interference measurements for wireless sensor networks. In Proceedings of the 31th International Conference on Communications. IEEE, 694--701.Google ScholarGoogle Scholar
  32. Iyer, V., Woehrle, M., and Langendoen, K. Chrysso: A multichannel approach to mitigate external interference 2011. In Proceedings of the 8th Communication Society Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (SECON '11).Google ScholarGoogle Scholar
  33. Jiang, P., Huang, Q., Wang, J., Dai, X., and Lin, R. 2006. Research on wireless sensor networks routing protocol for wetland water environment monitoring. In Proceedings of the 1st International Conference on Innovative Computing, Information and Control (ICICIC '06). IEEE, 251--254. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Kim, E., Kaspar, D., Gomez, C., and Bormann, C. 2009. Problem statement and requirements for 6lowpan routing. Tech. rep. draft-ietf-6lowpan-routing-requirements-04.Google ScholarGoogle Scholar
  35. Kim, K.-H. and Shin, K. G. 2006. On accurate measurement of link quality in multihop wireless mesh networks. In Proceedings of the 12th Annual International Conference on Mobile Computing and Networking (MobiCom '06). ACM, 38--49. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Kim, M. and Noble, B. 2001. Mobile network estimation. In Proceedings of the 7th Annual International Conference on Mobile Computing and Networking (MobiCom '01). ACM, 298--309. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Koksal, C. and Balakrishnan, H. 2006. Quality-aware routing in time-varying wireless networks. IEEE J. Select. Areas Comm. 24, 11, 1984--1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Kotz, D., Newport, C., and Elliott, C. 2003. The mistaken axioms of wireless-network research. Tech. rep., Dartmouth College.Google ScholarGoogle Scholar
  39. Lal, D., Manjeshwar, A., and Herrmann, F. 2003. Measurement and characterization of link quality metrics in energy constrained wireless sensor networks. In Proceedings of the IEEE Global Telecommunications Conference (Globecom '03). IEEE, 446--452.Google ScholarGoogle Scholar
  40. Lee, H., Cerpa, A., and Levis, P. 2007. Improving wireless simulation through noise modeling. In Proceedings of the 6th International Conference on Information Processing in Sensor Networks (IPSN '07). ACM, 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Li, Y., Chen, J., Lin, R., and Wang, Z. 2005. A reliable routing protocol design for wireless sensor networks. In Proceedings of the IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS '05). IEEE, 61--65.Google ScholarGoogle Scholar
  42. Liang, C.-J. M., Priyantha, N. B., Liu, J., and Terzis, A. 2010. Surviving wi-fi interference in low power zigbee networks. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys'10). ACM, 309--322. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Lim, G. 2002. Link stability and route lifetime in ad-hoc wireless networks. In Proceedings of the International Conference on Parallel Processing Workshops (ICPPW '02). IEEE, 116. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Lin, S., Zhang, J., Zhou, G., Gu, L., Stankovic, J. A., and He, T. 2006. Atpc: Adaptive transmission power control for wireless sensor networks. In Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys '06). ACM, 223--236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Lin, S., Zhou, G., Whitehouse, K., Wu, Y., Stankovic, J. A., and He, T. 2009. Towards stable network performance in wireless sensor networks (RTSS '09). In Proceedings of the 30th IEEE Real-Time Systems Symposium. IEEE, 227--237. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Liu, H., Li, J., Xie, Z., Lin, S., Whitehouse, K., Stankovic, J. A., and Siu, D. 2010. Automatic and robust breadcrumb system deployment for indoor firefighter applications. In Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services (MobiSys '10). ACM, 21--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Lymberopoulos, D., Lindsey, Q., and Savvides, A. 2006. A.: An empirical characterization of radio signal strength variability in 3-d ieee 802.15.4 networks using monopole antennas. In Proceedings of the 7th European Conference on Wireless Sensor Networks (EWSN' 10). Springer, 326--341. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Mottola, L., Picco, G. P., Ceriotti, M., Gunǎ, C., and Murphy, A. L. 2010. Not all wireless sensor networks are created equal: A comparative study on tunnels. ACM Trans. Sen. Netw. 7, 15:1--15:33. Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Munir, S., Lin, S., Hoque, E., Nirjon, S. M. S., Stankovic, J. A., and Whitehouse, K. 2010. Locationing burstiness for reliable communication and latency bound generation in wireless sensor networks. In Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN '10). ACM, 303--314. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Musaloiu-E., R. and Terzis, A. 2007. Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks. Int. J. Sensor Netw. 3, 1, 43--54. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Noda, C., Prabh, S., Boano, C. A., Voigt, T., and Alves, M. 2011. Poster abstract: A channel quality metric for interference-aware wireless sensor networks. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN '11). IEEE, 167--168.Google ScholarGoogle Scholar
  52. Petrova, M., Wu, L., Mahonen, P., and Riihijarvi, J. 2007. Interference measurements on performance degradation between colocated ieee 802.11g/n and ieee 802.15.4 networks. In Proceedings of the 6th International Conference on Networking. IEEE, 93--. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Polastre, J., Szewczyk, R., and Culler, D. 2005. Telos: Enabling ultra-low power wireless research. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN '05). IEEE Press, 364--369. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Puccinelli, D. and Haenggi, M. 2008. DUCHY: Double cost field hybrid link estimation for low-power wireless sensor networks. In Proceedings of the 5th Workshop on Embedded Networked Sensors (Hot EmNets'08). ACM.Google ScholarGoogle Scholar
  55. Puccinelli, D. and Haenggi, M. 2010. Reliable data delivery in large-scale low-power sensor networks. ACM Trans. Sen. Netw. 6, 4, 1--41. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. Raman, B. and Chebrolu, K. 2008. Censor networks: A critique of “sensor networks” from a systems perspective. SIGCOMM Comput. Comm. Rev. 38, 75--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Raman, B., Chebrolu, K., Madabhushi, N., Gokhale, D. Y., Valiveti, P. K., and Jain, D. 2006. Implications of link range and (in)stability on sensor network architecture. In Proceedings of the 1st International Workshop on Wireless Network Ttestbeds, Experimental Evaluation & Characterization (WiNTECH '06). ACM, 65--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Rappapport, T. S. 2001. Wireless Communications: Principles and Practice. Prentice Hall. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Reijers, N., Halkes, G., and Langendoen, K. 2004. Link layer measurements in sensor networks. In Proceedings of the 1st IEEE Internationall Conference on Mobile Ad-hoc and Sensor Systems (MASS '04). IEEE, 24--27.Google ScholarGoogle Scholar
  60. Rondinone, M., Ansari, J., Riihijärvi, J., and Mähönen, P. 2008. Designing a reliable and stable link quality metric for wireless sensor networks. In Proceedings of the Workshop on Real-World Wireless Sensor Networks (RealWSN '08). 6--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Seada, K., Zuniga, M., Helmy, A., and Krishnamachari, B. 2004. Energy-Efficient forwarding strategies for geographic routing in lossy wireless sensor networks. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (SenSys '04). ACM, 108--121. Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Senel, M., Chintalapudi, K., Lal, D., Keshavarzian, A., and Coyle, E. J. 2007. A Kalman filter based link quality estimation scheme for wireless sensor networks. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM '07). IEEE, 875--880.Google ScholarGoogle Scholar
  63. Sha, M., Hackmann, G., and Lu, C. 2011. ARCH: Practical channel hopping for reliable home-area sensor networks. In Proceedings of the 17th Real-Time and Embedded Technology and Applications Symposium (RTAS '11). IEEE. Google ScholarGoogle ScholarDigital LibraryDigital Library
  64. Sikora, A. and Groza, V. F. 2005. Coexistence of IEEE 802.15.4 with other systems in the 2.4 GHz-ISM-band. In Proceedings of the IEEE Conference on Instrumentation and Measurement Technology. 1786--1791.Google ScholarGoogle Scholar
  65. Son, D., Krishnamachari, B., and Heidemann, J. 2006. Experimental study of concurrent transmission in wireless sensor networks. In Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys '06). ACM, 237--250. Google ScholarGoogle ScholarDigital LibraryDigital Library
  66. Srinivasan, K., Dutta, P., Tavakoli, A., and Levis, P. 2006a. Understanding the causes of packet delivery success and failure in dense wireless sensor networks. In Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys '06). ACM, 419--420. Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. Srinivasan, K., Dutta, P., Tavakoli, A., and Levis, P. 2010a. An empirical study of low-power wireless. ACM Trans. Sen. Netw. 6, 1--49. Google ScholarGoogle ScholarDigital LibraryDigital Library
  68. Srinivasan, K., Jain, M., Choi, J. I., Azim, T., Kim, E. S., Levis, P., and Krishnamachari, B. 2010b. The &##954; factor: Inferring protocol performance using inter-link reception correlation. In Proceedings of the 16th Annual International Conference on Mobile Computing and Networking (MobiCom '10). ACM, 317--328. Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. Srinivasan, K., Kazandjieva, M. A., Agarwal, S., and Levis, P. 2008. The β-factor: Measuring wireless link burstiness. In Proceedings of the 6th International Conference on Embedded Network Sensor Systems (SenSys '08). ACM, 29--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  70. Srinivasan, K. and Levis, P. 2006b. Rssi is under appreciated. In Proceedings of the 3rd International Workshop on Embedded Networked Sensors (EmNets'06).Google ScholarGoogle Scholar
  71. Tang, L., Sun, Y., Gurewitz, O., and Johnson, D. B. 2011. EM-MAC: A dynamic multichannel energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 12th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc '11). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  72. Tang, L., Wang, K.-C., Huang, Y., and Gu, F. 2007. Channel characterization and link quality assessment of ieee 802.15.4-compliant radio for factory environments. IEEE Trans. Industr. Inf. 3, 2, 99--110.Google ScholarGoogle ScholarCross RefCross Ref
  73. Thelen, J., Goense, D., and Langendoen, K. 2005. Radio wave propagation in potato fields. In Proceedings of the 1st Workshop on Wireless Network Measurements.Google ScholarGoogle Scholar
  74. TinyOS MultiHopLQI routing algorithm. 2004. http://www.tinyos.net/tinyos-1.x/tos/lib/MultiHopLQI/.Google ScholarGoogle Scholar
  75. Toscano, E. and Bello, L. L. 2008. Cross-Channel interference in IEEE 802.15.4 networks. In Proceedings of the 7th International Workshop on Factory Communication Systems (WFCS '08). 139--148.Google ScholarGoogle Scholar
  76. Wang, Y., Martonosi, M., and Peh, L.-S. 2007. Predicting link quality using supervised learning in wireless sensor networks. ACM SIGMOBILE Mobile Comput. Comm. Rev. 11, 3, 71--83. Google ScholarGoogle ScholarDigital LibraryDigital Library
  77. Werner-Allen, G., Lorincz, K., Johnson, J., Lees, J., and Welsh, M. 2006. Fidelity and yield in a volcano monitoring sensor network. In Proceedings of the 7th Symposium on Operating Systems Design and Implementation (OSDI '06). USENIX Association, 381--396. Google ScholarGoogle ScholarDigital LibraryDigital Library
  78. Woo, A. and Culler, D. 2003a. Evaluation of efficient link reliability estimators for low-power wireless networks. Tech. rep. UCB/CSD-03-1270, EECS Department, University of California, Berkeley.Google ScholarGoogle Scholar
  79. Woo, A., Tong, T., and Culler, D. 2003. Taming the underlying challenges of reliable multihop routing in sensor networks. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys '03). ACM, 14--27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  80. Wu, Y., Stankovic, J. A., He, T., and Lin, S. 2008. Realistic and efficient multi-channel communications in wireless sensor networks. In Proceedings of the 27th Conference on Computer Communications (INFOCOM '08). IEEE, 1193--1201.Google ScholarGoogle Scholar
  81. Xing, G., Sha, M., Huang, J., Zhou, G., Wang, X., and Liu, S. 2009. MultiChannel interference measurement and modeling in low-power wireless networks. In Proceedings of the 30th IEEE Real-Time Systems Symposium (RTSS '09). IEEE, 248--257. Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. Xu, Y. and Lee, W.-C. 2006. Exploring spatial correlation for link quality estimation in wireless sensor networks. In Proceedings of the 4th Annual IEEE International Conference on Pervasive Computing and Communication (PERCOM '06). IEEE Computer Society, 200--211. Google ScholarGoogle ScholarDigital LibraryDigital Library
  83. Yang, D., Xu, Y., and Gidlund, M. 2010. Coexistence of IEEE802.15.4 based networks a survey. In Proceedings of the 36th Annual Conference on IEEE Industrial Electronics Society (IECON '10). IEEE, 2107--2113.Google ScholarGoogle Scholar
  84. Yunqian, M. 2005. Improving wireless link delivery ratio classification with packet snr. In Proceedings of the International Conference on Electro Information Technology. IEEE, 6--12.Google ScholarGoogle ScholarCross RefCross Ref
  85. Zhang, H., Sang, L., and Arora, A. 2008. Unravelling the subtleties of link estimation and routing in wireless sensor networks. Tech. rep.Google ScholarGoogle Scholar
  86. Zhang, H., Sang, L., and Arora, A. 2010. Comparison of data-driven link estimation methods in low-power wireless networks. IEEE Trans. Mobile Computing 9, 1634--1648. Google ScholarGoogle ScholarDigital LibraryDigital Library
  87. Zhao, J. and Govindan, R. 2003. Understanding packet delivery performance in dense wireless sensor networks. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys '03). ACM, 1--13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  88. Zhou, G., He, T., Krishnamurthy, S., and Stankovic, J. A. 2004. Impact of radio irregularity on wireless sensor networks. In Proceedings of the 2nd International Conference on Mobile Systems, Applications, and Services (MobiSys '04). ACM, 125--138. Google ScholarGoogle ScholarDigital LibraryDigital Library
  89. Zhou, G., He, T., Krishnamurthy, S., and Stankovic, J. A. 2006a. Models and solutions for radio irregularity in wireless sensor networks. ACM Trans. Sen. Netw. 2, 2, 221--262. Google ScholarGoogle ScholarDigital LibraryDigital Library
  90. Zhou, G., He, T., Stankovic, J. A., and Abdelzaher, T. 2005. Rid: Radio interference detection in wireless sensor networks. In Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM '05). IEEE, 891--901.Google ScholarGoogle Scholar
  91. Zhou, G., Stankovic, J. A., and Son, S. H. 2006b. Crowded spectrum in wireless sensor networks. In Proceedings of the 3rd Workshop on Embedded Networked Sensors (EmNets '06).Google ScholarGoogle Scholar
  92. Zuniga, M. and Krishnamachari, B. 2004. Analyzing the transitional region in low power wireless links. In Proceedings of the 1st International Conference on Sensor and Ad Hoc Communications and Networks (SECON '04). IEEE, 517--526.Google ScholarGoogle Scholar
  93. Zuniga, M. and Krishnamachari, B. 2007. An analysis of unreliability and asymmetry in low-power wireless links. ACM Trans. Sen. Netw. 3, 2, 63--81. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Transactions on Sensor Networks
        ACM Transactions on Sensor Networks  Volume 8, Issue 4
        September 2012
        292 pages
        ISSN:1550-4859
        EISSN:1550-4867
        DOI:10.1145/2240116
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        Publication History

        • Published: 25 September 2012
        • Accepted: 1 July 2011
        • Revised: 1 June 2011
        • Received: 1 March 2011
        Published in tosn Volume 8, Issue 4

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