Abstract
In this paper, we present a novel approach to study and reveal network and protocol information from energy instrumentation in wireless sensor network. Unlike prior approaches which focused on analyzing the aggregate statistics of energy efficiency of a network or a protocol, our approach aims at revealing network protocols, application workloads, and topology information by fine-grained energy instrumentation on the nodes. We design a set of features based on various aspects of energy data and use those features to classify and reveal network activity. Results from experiments on three testbeds indicate that our approach can achieve 97% accuracy to identify the routing protocols, and infer the network topology with 98% accuracy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dang, T., Bulusu, N., Feng, W.C., Park, S.: Dhv: A code consistency maintenance protocol for multi-hop wireless sensor networks. In: Wireless Sensor Networks, pp. 327–342 (2009)
Doddavenkatappa, M., Chan, M.C., Ananda, A.L.: Indriya: A low-cost, 3D wireless sensor network testbed. In: Korakis, T., Li, H., Tran-Gia, P., Park, H.-S. (eds.) TridentCom 2011. LNICST, vol. 90, pp. 302–316. Springer, Heidelberg (2012)
Dunkels, A., Eriksson, J., Finne, N., Tsiftes, N.: Powertrace: Network-level power profiling for low-power wireless networks (2011)
Dunkels, A., Osterlind, F., Tsiftes, N., He, Z.: Software-based on-line energy estimation for sensor nodes. In: EmNets, pp. 28–32 (2007)
Gnawali, O., Fonseca, R., Jamieson, K., Moss, D., Levis, P.: Collection tree protocol. In: ACM SenSys (2009)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. ACM SIGKDD Explorations Newsletter 11(1), 10–18 (2009)
Li, Q., Han, D., Gnawali, O., Sommer, P., Kusy, B.: Twonet: Large-scale wireless sensor network testbed with dual-radio nodes. In: ACM SenSys (2013)
Lim, R., Ferrari, F., Zimmerling, M., Walser, C., Sommer, P., Beutel, J.: Flocklab: A testbed for distributed, synchronized tracing and profiling of wireless embedded systems. In: ACM/IEEE IPSN (2013)
Molina-Markham, A., Shenoy, P., Fu, K., Cecchet, E., Irwin, D.: Private memoirs of a smart meter. In: ACM BuildSys (2010)
Pang, R., Allman, M., Paxson, V., Lee, J.: The devil and packet trace anonymization. ACM SIGCOMM Computer Communication Review 36(1), 29–38 (2006)
Stathopoulos, T., Mclntire, D., Kaiser, W.J.: The energy endoscope: Real-time detailed energy accounting for wireless sensor nodes. In: ACM/IEEE IPSN (2008)
TinyOS: The drip protocol, https://github.com/tinyos/tinyos-main/tree/master/tos/lib/net/drip
TinyOS: Multihoplqi collection protocol, https://github.com/tinyos/tinyos-main/tree/master/tos/lib/net/lqi
Woehrle, M., Lampka, K., Thiele, L.: Exploiting timed automata for conformance testing of power measurements. In: Ouaknine, J., Vaandrager, F.W. (eds.) FORMATS 2009. LNCS, vol. 5813, pp. 275–290. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Han, D., Gnawali, O., Sharma, A.B. (2015). Revealing Protocol Information and Activity from Energy Instrumentation in Wireless Sensor Network. In: Abdelzaher, T., Pereira, N., Tovar, E. (eds) Wireless Sensor Networks. EWSN 2015. Lecture Notes in Computer Science, vol 8965. Springer, Cham. https://doi.org/10.1007/978-3-319-15582-1_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-15582-1_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15581-4
Online ISBN: 978-3-319-15582-1
eBook Packages: Computer ScienceComputer Science (R0)