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Introduction

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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

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Abstract

A fundamental feature of resource-limited wireless sensor networks (WSNs) which distinguishes them from traditional networking paradigms is their data-centric nature.

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References

  1. F. Li, J. Luo, W. Wang, Y. He, Autonomous deployment for load balancing k-surface coverage in sensor networks. IEEE Trans. Wirel. Commun. 14(1), 279–293 (2015)

    Article  Google Scholar 

  2. B. Fateh, M. Govindarasu, Joint scheduling of tasks and messages for energy minimization in interference-aware real-time sensor networks. IEEE Trans. Mob. Comput. 14(1), 86–98 (2015)

    Article  Google Scholar 

  3. M.A. Serna, A. Bermudez, R. Casado, Hull-based approximation to forest fires with distributed wireless sensor networks, Melbourne, Australia (2013), pp. 265–270

    Google Scholar 

  4. L. Lin, C. Yang, K.J. Wong, H. Yan, J. Shen, S.J. Phee, An energy efficient mac protocol for multi-hop swallowable body sensor networks. Sensors 14(10), 19457–19476 (2014)

    Article  Google Scholar 

  5. M. Dong, K. Ota, L.T. Yang, S. Chang, H. Zhu, Z. Zhou, Mobile agent-based energy-aware and user-centric data collection in wireless sensor networks. Comput. Netw. 74, 58–70 (2014)

    Google Scholar 

  6. A. Fuggetta, G.P. Picco, G. Vigna, Understanding code mobility. IEEE Trans. Softw. Eng. 24(5), 342–361 (1998)

    Article  Google Scholar 

  7. H. Qi, S.S. Iyengar, K. Chakrabarty, Multiresolution data integration using mobile agents in distributed sensor networks. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 31(3), 383–391 (2001)

    Article  Google Scholar 

  8. D.B. Lange, M. Oshima, Dispatch your agents; shut off your machine. Commun. ACM 42(3), 88–89 (1999)

    Article  Google Scholar 

  9. S. Khan, A.-S.K. Pathan, N.A. Alrajeh, Wireless Sensor Networks: Current Status and Future Trends, 1st edn. (CRC Press Inc., Boca Raton, FL, USA, 2012)

    Book  Google Scholar 

  10. E.U. Gaura, J. Brusey, R. Wilins, Barnham J., Wireless sensing for the built environment: enabling innovation towards greener, healthier homes, United Kingdom (2011), pp. 1–6

    Google Scholar 

  11. Y. Xue, X. Chang, S. Zhong, Y. Zhuang, An efficient energy hole alleviating algorithm for wireless sensor networks. IEEE Trans. Consum. Electron. 60(3), 347–355 (2014)

    Article  Google Scholar 

  12. S. Han, M. Xie, B. Tian, S. Parvin, Anomaly detection in wireless sensor networks: a survey. J. Netw. Comput. Appl. 34(4), 1302–1325 (2011)

    Article  Google Scholar 

  13. C. O’Reilly, A. Gluhak, M.A. Imran, S. Rajasegarar, Anomaly detection in wireless sensor networks in a non-stationary environment. IEEE Commun. Surv. Tutor. 16(3), 1413–1432 (2014)

    Google Scholar 

  14. M. Moshtaghi, C. Leckie, S. Karunasekera, S. Rajasegarar, An adaptive elliptical anomaly detection model for wireless sensor networks. Comput. Netw. 64, 195–207 (2014a)

    Article  Google Scholar 

  15. H. Kumarage, I. Khalil, Z. Tari, A. Zomaya, Distributed anomaly detection for industrial wireless sensor networks based on fuzzy data modelling. J. Parallel Distrib. Comput. 73(6), 790–806 (2013a)

    Article  Google Scholar 

  16. M. Xie, J. Hu, S. Han, H.-H. Chen, Scalable hypergrid k-nn-based online anomaly detection in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 24(8), 1661–1670 (2013a)

    Article  Google Scholar 

  17. J. Waterman, G.W. Challen, M. Welsh, Peloton: Coordinated resource management for sensor networks, Switzerland (2009), pp. 1–5

    Google Scholar 

  18. P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh, E. Brewer, D. Culler, Tinyos: an operating system for sensor networks, in Ambient Intelligence, ed. by W. Weber, J.M. Rabaey, E. Aarts (Springer, Berlin, 2005), pp. 115–148

    Google Scholar 

  19. F. Ahmad, I. Fakhir, S.A. Khan, Y.D. Khan, Petri net-based modeling and control of the multi-elevator systems. Neural Comput. Appl. 24(7–8), 1601–1612 (2014)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Sciences, Quaid-I-Azam University, Islamabad, Pakistan

    Muhammad Usman & Surraya Khanum

  2. School of Information and Communication Technology, Griffith University, Gold Coast, QLD, Australia

    Vallipuram Muthukkumarasamy & Xin-Wen Wu

Authors
  1. Muhammad Usman
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  2. Vallipuram Muthukkumarasamy
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  3. Xin-Wen Wu
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  4. Surraya Khanum
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Correspondence to Muhammad Usman .

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Usman, M., Muthukkumarasamy, V., Wu, XW., Khanum, S. (2018). Introduction. In: Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. Springer, Singapore. https://doi.org/10.1007/978-981-10-7467-7_1

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  • DOI: https://doi.org/10.1007/978-981-10-7467-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7466-0

  • Online ISBN: 978-981-10-7467-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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