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Trust Based Data Gathering in Wireless Sensor Network

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Abstract

Wireless sensor nodes have been successfully employed in various pervasive applications. In all pervasive applications, a gathering of sensor data from the environment is the main operation held in a sensor network, where sink node or base station gathers all generated data to do data analysis and decision making. The data generated by the sensor node in the pervasive environment should be transmitted to the sink node for data analysis and decision making. We strongly conceive that each process from perceiving the environment to decision making, demands trust based process to ease and ensure the trustworthy data exchange among trustworthy nodes such as trust-based data collection, trust-based data aggregation, trust-based data reconstruction and trust-based data analysis for decision making. In this work, we propose a Trust-based Data Gathering which focus on trust-based data collection, data aggregation, and data reconstruction to show that the absence of trust in a sensor-driven pervasive environment could affect the normal functionality of an application. Experimental results show that the proposed method achieves better performance in detecting data faults, malicious nodes and demonstrates that the absence of trust based process in data collection, data aggregation, and data reconstruction in harsh environment consumes more energy and delay for handling untrustworthy data, untrustworthy node and affects the normal functionality of the application.

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References

  1. Akyildiz, I. F., Su, W., Sankarasubrarnanian, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, Elsevier Science, 38(4), 393–422.

    Article  Google Scholar 

  2. Karthik, N., & Ananthanarayana, V. S. (2017). An ontology-based trust framework for sensor-driven pervasive environment. In 2017 Asia Modelling Symposium (AMS). IEEE.

  3. Ji, S., He, J., & Cai, Z. (2014). Data gathering in wireless sensor networks. In H. Ammari (Ed.), The Art of Wireless Sensor Networks., Signals and Communication Technology Berlin: Springer.

    Google Scholar 

  4. Karthik, N., & Ananthanarayana, V. S. (2017). Sensor data modeling for data trustworthiness. In 2017 IEEE Trustcom/BigDataSE/ICESS. IEEE.

  5. Tolle, G., Polastre, J., Szewczyk, R., Culler, D., Turner, N., Tu, K., Hong, W., et al. (2005). A macroscope in the redwoods. In Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems (pp. 51–63). ACM

  6. Kamal, A. R. M., Bleakley, C., & Dobson, S. (2013). Packet-level attestation (PLA): A framework for in-network sensor data reliability. ACM Transactions on Sensor Networks (TOSN), 9(2), 19.

    Article  Google Scholar 

  7. Samuel, M. (2004). Intel lab data. 2004–06. http://db.csail.mit.edu/labdata/labdata.html. Accessed 2 Jan 2019.

  8. Sharma, A. B., Golubchik, L., & Govindan, R. (2010). Sensor faults: Detection methods and prevalence in real-world datasets. ACM Transactions on Sensor Networks (TOSN), 6(3), 23.

    Article  Google Scholar 

  9. Fasolo, E., Rossi, M., Widmer, J., & Zorzi, M. (2007). In-network aggregation techniques for wireless sensor networks: A survey. IEEE Wireless Communications, 14(2), 70–87.

    Article  Google Scholar 

  10. Guo, J., Fang, J., & Chen, X. (2011). Survey on secure data aggregation for wireless sensor networks. In IEEE SOLI.

  11. Jesus, P., Baquero, C., & Almeida, P. S. (2015). A survey of distributed data aggregation algorithms. IEEE Communications Surveys & Tutorials, 17(1), 381–404.

    Article  Google Scholar 

  12. Sang, Y., Shen, H., Inoguchi, Y., Tan, Y., & Xiong, N. (2006). Secure data aggregation in wireless sensor networks: A survey. In IEEE PDCAT.

  13. Taghikhaki, Z., Meratnia, N., & Havinga, P. J. M. (2011). Energy-efficient Trust-based aggregation in wireless sensor networks. In 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE.

  14. Vijayalakshmi, P. (2013). Trust based data aggregation in wireless sensor networks. International Journal of Computer Applications, 73(22), 8–12.

    Article  Google Scholar 

  15. Liu, C. X., Liu, Y., & Zhang, Z. J. (2013). Improved reliable trust-based and energy-efficient data aggregation for wireless sensor networks. International Journal of Distributed Sensor Networks, 9(5), 13–137.

    Article  Google Scholar 

  16. Rezvani, M. (2015). Trust-based data aggregation for WSNs in the presence of faults and collusion attacks. Doctoral dissertation, University of New South Wales, Sydney, Australia.

  17. Ma, T., Liu, Y., & Zhang, Z. J. (2015). An energy-efficient reliable trust-based data aggregation protocol for wireless sensor networks. International Journal of Control, Automation and System, 8(3), 305–318.

    Article  Google Scholar 

  18. Suraj, M., Raja, B., & Vengattaraman, T. (2016). Secure data aggregation in wireless sensor network using trust model. International Journal of Computer Science Trends and Technology, 4.

  19. Vamsi, P. R., & Kant, K. (2016). Trust aware data aggregation and intrusion detection system for wireless sensor networks. International Journal on Smart Sensing and Intelligent Systems, 9(2), 537–562.

    Article  Google Scholar 

  20. Liu, Y., Liu, C. X., & Zeng, Q. A. (2016). Improved trust management based on the strength of ties for secure data aggregation in wireless sensor networks. Telecommunication Systems, 62(2), 319–325.

    Article  Google Scholar 

  21. Rajesh, G. (2016). Trust based temporal data aggregation for energy constrained wireless sensor networks. Doctoral dissertation, Anna University, Chennai, India.

  22. Kumar, M., & Dutta, K. (2016). LDAT: LFTM based data aggregation and transmission protocol for wireless sensor networks. Journal of Trust Management, 3(1), 2.

    Article  MathSciNet  Google Scholar 

  23. Gilbert, E. P. K., Kaliaperumal, B., Rajsingh, E. B., & Lydia, M. (2018). Trust based data prediction, aggregation and reconstruction using compressed sensing for clustered wireless sensor networks. Computers & Electrical Engineering, 72, 894–909.

    Article  Google Scholar 

  24. Gao, Y., Li, X., Li, J., & Gao, Y. (2018). A trustworthy data aggregation model based on context and data density correlation degree. In Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (pp. 265–273). ACM.

  25. Ramalingam, L., & Audithan, S. (2006). An efficient data collection scheme based on trust evaluation in large scale wireless sensor networks. Arpn Journals, 11, 11550–11555.

    Google Scholar 

  26. Luo, H., Tao, J., & Sun, Y. (2009). Entropy-based trust management for data collection in wireless sensor networks. In 5th International Conference on Wireless Communications, Networking and Mobile Computing, 2009. WiCom’09 (pp. 1–4). IEEE.

  27. Gomez, L., De Mol, R. M., Hogewerf, P. H., & Ipema, A. H. (2011). Trustworthiness assessment of cow behaviour data collected in a wireless sensor network. In 5th European Conference on Precision Livestock Farming (pp. 85–93). Prague Czech Republic, 11–14 July 2011.

  28. Whitehead, J. R. (2016). Cluster-based trust proliferation and energy efficient data collection in unattended wireless sensor networks with mobile sinks. Master dissertation, The University of Tennessee, Chattanooga, Tennessee.

  29. Chitti Babu, Y., et al. (2017). Optimized fuzzy trust based energy aware multipath secure data collection in WSN. Journal of Advanced Research in Dynamical and Control Systems, 16(2), 669–675.

    Google Scholar 

  30. Puneeth, D., Joshi, N., Atrey, P. K., & Kulkarni, M. (2018). Energy-efficient and reliable data collection in wireless sensor networks. Turkish Journal of Electrical Engineering & Computer Sciences, 26(1), 138–149.

    Article  Google Scholar 

  31. Karthik, N., Ananthanarayana, V. S. (2018). Context aware trust management scheme for pervasive healthcare. Wireless Personal Communications, 105(3), 25–763.

    Google Scholar 

  32. Karthik, N., & Ananthanarayana, V. S. (2017). Data trust model for event detection in wireless sensor networks using data correlation techniques. In 2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) (pp. 1–5). IEEE.

  33. Dhulipala, V. S., Karthik, N., & Chandrasekaran, R. M. (2013). A novel heuristic approach based trust worthy architecture for wireless sensor networks. Wireless Personal Communications, 70(1), 189–205.

    Article  Google Scholar 

  34. Jadidoleslamy, H., Aref, M. R., & Bahramgiri, H. (2016). A fuzzy fully distributed trust management system in wireless sensor networks. AEU-International Journal of Electronics and Communications, 70(1), 40–49.

    Article  Google Scholar 

  35. Karthik, N., & Ananthanarayana, V. S. (2017). A hybrid trust management scheme for wireless sensor networks. Wireless Personal Communications, 97(4), 5137–5170.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Information Technology, National Institute of Technology Karnataka, Mangalore, India

    N. Karthik & V. S. Ananthanarayana

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  1. N. Karthik
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  2. V. S. Ananthanarayana
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Karthik, N., Ananthanarayana, V.S. Trust Based Data Gathering in Wireless Sensor Network. Wireless Pers Commun 108, 1697–1717 (2019). https://doi.org/10.1007/s11277-019-06491-y

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