Identifying defective nodes in wireless sensor networks

作者: Christopher Oßner , Erik Buchmann , Klemens Böhm

DOI: 10.1007/S10619-015-7189-7

关键词:

摘要: Wireless sensor networks (WSNs) have become ubiquitous, e.g., in logistics, smart manufacturing, city infrastructures or vehicular ad-hoc networks. WSNs tend to rely on that are prone a wide range of different defects, communication failures, faulty sensors nodes been tampered with. Additionally, dealing with defects is challenging, as might occur only occasionally. In this paper, we introduce SEDEL, our approach for Sensor nEtwork DEfect Localization. SEDEL helps the WSN operator pinpoint defective routing topology WSN. particular, let store graph representations topology, together information if has produced errors. Based information, assigns each node suspiciousness score correlated defect probability. Thus, can be used any kind defect, and does not known, long decide certain processing correct not. We evaluated real sensor-node deployment. Our evaluation shows assigned high probability vast majority experiments.

参考文章(26)
Gunter Saake, Erik Buchmann, Sven Apel, PIGGYBACK META-DATA PROPAGATION IN DISTRIBUTED HASH TABLES international conference on web information systems and technologies. pp. 72- 79 ,(2005)
Xifeng Yan, Jiawei Han, Chao Liu, Mining control flow abnormality for logic error isolation siam international conference on data mining. pp. 106- 117 ,(2006)
Frank Eichinger, Klemens Böhm, Matthias Huber, Mining Edge-Weighted Call Graphs to Localise Software Bugs european conference on machine learning. pp. 333- 348 ,(2008) , 10.1007/978-3-540-87479-9_40
Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu, Mining behavior graphs for "Backtrace" of noncrashing bugs siam international conference on data mining. pp. 286- 297 ,(2005) , 10.1137/1.9781611972757.26
Refik Molva, Pietro Michiardi, None, Security in ad hoc networks Lecture Notes in Computer Science. pp. 756- 775 ,(2003) , 10.1007/B12004
G. Hoblos, M. Staroswiecki, A. Aitouche, Optimal design of fault tolerant sensor networks international conference on control applications. pp. 467- 472 ,(2000) , 10.1109/CCA.2000.897468
D. Nadig, S.S. Iyengar, D.N. Jayasimha, A new architecture for distributed sensor integration Proceedings of Southeastcon '93. pp. 8- ,(1993) , 10.1109/SECON.1993.465662
Tomonari Furukawa, Shen Hin Lim, John G. Michopoulos, Stochastic identification of defects under sensor uncertainties International Journal for Numerical Methods in Engineering. ,vol. 90, pp. 135- 151 ,(2012) , 10.1002/NME.3283
Patrick Knab, Martin Pinzger, Abraham Bernstein, Predicting defect densities in source code files with decision tree learners Proceedings of the 2006 international workshop on Mining software repositories - MSR '06. pp. 119- 125 ,(2006) , 10.1145/1137983.1138012
Mohammad Nikjoo-S, Konstantinos N. Plataniotis, Detecting the defective nodes in wireless sensor networks biennial symposium on communications. pp. 72- 75 ,(2010) , 10.1109/BSC.2010.5473001