Abstract
Experimental studies in wireless sensor network (WSN) have shown that asymmetry in low-power wireless links have a significant effect on the performance of WSN protocols. Protocols, which work in simulation studies often fail when link asymmetry is encountered in real deployments. Therefore, characterization of link asymmetry is of importance for the design and operation of resilient WSN protocols in real scenarios. This paper details an empirical study to characterize link asymmetry in WSNs. It presents a systematic approach to measure the effects of hardware performance and environmental factors on link asymmetry using off-the-shelf WSN devices. It shows that, for the given hardware platform, transmitter power and receiver sensitivity are the major factors responsible for asymmetry in low-power wireless links, while frequency misalignment in the transmitter and power variations in the antenna are unlikely causes for it.
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http://memsic.com/products/wireless-sensor-networks/wireless-modules.html
http://www.us.anritsu.com/products/MS2721A_Spectrum-Master_ARSPG_ARQQSidZ654.aspx
Liu, P.R., Rosberg, Z., Collings, I., Wilson, C., Dong, Y.A., Jha, S.: Overcoming Radio Link Asymmetry in Wireless Sensor Networks. In: IEEE PIMRC (2008)
Misra, P., Ahmed, N., Jha, S.: Characterization of Asymmetry in Low-Power Wireless Links: An Empirical Study. Technical report,UNSW-CSE-TR-1016, UNSW (2010)
Cerpa, A., Wong, J.L., Potkonjak, M., Estrin, D.: Temporal properties of low power wireless links: modeling and implications on multi-hop routing. In: ACM MobiHoc, pp. 414–425 (2005)
Ganesan, D., Krishnamachari, B., Woo, A., Culler, D., Estrin, D., Andwicker, S.: Complex behavior at scale: An experimental study of low-power wireless sensor networks. Technical report,CS TR 02-0013, UCLA (2002)
Cerpa, A., Busek, N., Estrin, D.: Scale: A tool for simple connectivity assessment in lossy environments. Technical report, 0021, UCLA
Woo, A., Tong, T., Culler, D.: Taming the underlying challenges of reliable multihop routing in sensor networks. In: ACM SenSys, pp. 14–27 (2003)
Zhao, J., Govindan, R.: Understanding packet delivery performance in dense wireless sensor networks. In: ACM SenSys, pp. 1–13 (2003)
Zhou, G., He, T., Krishnamurthy, S., Stankovic, J.: Models and solutions for radio irregularity in wireless sensor networks. ACM TOSN 2(2), 221–262 (2006)
Raman, B., Chebrolu, K., Madabhushi, N., Gokhale, Y.D., Valiveti, K.P., Jain, D.: Implications of Link Range and (In)Stability on Sensor Network Architecture. In: WiNTECH, A MobiCom Workshop (2006)
Srinivasan, K., Dutta, P., Tavakoli, A., Levis, P.: An empirical study of low-power wireless. ACM TOSN 6(2), 1–49 (2010)
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Misra, P., Ahmed, N., Ostry, D., Jha, S. (2011). Characterization of Asymmetry in Low-Power Wireless Links: An Empirical Study. In: Aguilera, M.K., Yu, H., Vaidya, N.H., Srinivasan, V., Choudhury, R.R. (eds) Distributed Computing and Networking. ICDCN 2011. Lecture Notes in Computer Science, vol 6522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17679-1_30
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DOI: https://doi.org/10.1007/978-3-642-17679-1_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17678-4
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