• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2020, Volume: 13, Issue: 39, Pages: 4092-4108

Original Article

Performance and evaluation of location energy aware trusted distance source routing protocol for secure routing in WSNs

Received Date:26 August 2020, Accepted Date:25 October 2020, Published Date:06 November 2020

Abstract

Objectives: To propose a suitable algorithm for improving the network lifetime of Wireless Sensor Networks (WSNs). Methods/Findings: We proposed a suitable Location and Energy Aware Trusted Distance Source Routing (LEATDSR) algorithm. Here, the energy consumption, location and the data quality are equalized by the Quality of Service (QoS) based routing algorithms. In addition to this algorithm, an existing clustering algorithm is also incorporates for grouping the sensor nodes based on the trust, location, energy and distance. In this LEATDSR is capable of deciding the evaluation metrics which express the QoS. Moreover, a new trust mechanism is also introduced in this model that incorporates multi-attributes of various sensor nodes in terms of communication, data, energy, and recommendation. This new trust mechanism relies on an enhanced sliding window time by considering the occurrences of attack frequency for facilitating the discovery of anomalous behaviours of attackers. The enhanced energy utilization is established within the sensor nodes for performing the active data transmission. The performance of the proposed model is evaluated by conducting various experiments in a simulation environment which creates by using NS2. From the experiments conducted in this work, the average packet transfer rate is increased drastically when compared to existing models available in the literature.

Keywords: Sensor nodes; energy; quality of service; wireless sensor network;

clustering; trust

References

  1. Butun I, Morgera SD, Sankar R. A Survey of intrusion detection systems in wireless sensor networks. IEEE Communications Surveys & Tutorials. 2014;16(1):266–282. Available from: https://dx.doi.org/10.1109/surv.2013.050113.00191
  2. Mini RAF, Machado MdV, Loureiro AAF, Nath B. Prediction-based energy map for wireless sensor networks. Ad Hoc Networks. 2005;3(2):235–253. Available from: https://dx.doi.org/10.1016/j.adhoc.2004.07.008
  3. Ishmanov F, Malik AS, Kim SW, Begalov B. Trust management system in wireless sensor networks: design considerations and research challenges. Transactions on Emerging Telecommunications Technologies. 2015;26(2):107–130. Available from: https://doi.org/10.1002/ett.2674
  4. Shaikh RA, Jameel H, d'Auriol BJ, Lee H, Lee S, Song YJ. Group-Based trust management scheme for clustered wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems. 2009;20(11):1698–1712. Available from: https://dx.doi.org/10.1109/tpds.2008.258
  5. Yu H, Shen Z, Miao C, Leung C, Niyato D. A survey of trust and reputation management systems in wireless communications. Proceedings of the IEEE. 2010;98(10):1755–1772. Available from: https://dx.doi.org/10.1109/jproc.2010.2059690
  6. Govindan K, Mohapatra P. Trust computations and trust dynamics in mobile adhoc networks: A survey. IEEE Communications Surveys & Tutorials. 2012;14(2):279–298. Available from: https://dx.doi.org/10.1109/surv.2011.042711.00083
  7. Muthurajkumar S, Ganapathy S, Vijayalakshmi M, Kannan A. An Intelligent Secured and Energy Efficient Routing Algorithm for MANETs. Wireless Personal Communications. 2017;96:1753–1769. Available from: https://dx.doi.org/10.1007/s11277-017-4266-4
  8. Naranjo PGV, Shojafar M, Mostafaei H, Pooranian Z, Baccarelli E. P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks. The Journal of Supercomputing. 2017;73(2):733–755. Available from: https://dx.doi.org/10.1007/s11227-016-1785-9
  9. Khan BM, Bilal R, Young R. Fuzzy-TOPSIS based cluster head selection in mobile wireless sensor networks. Journal of Electrical Systems and Information Technology. 2017;p. 1–16. Available from: https://doi.org/10.1016/j.jesit.2016.12.004
  10. Shokouhifar M, Jalali A. Optimized sugeno fuzzy clustering algorithm for wireless sensor networks. Engineering Applications of Artificial Intelligence. 2017;60:16–25. Available from: https://dx.doi.org/10.1016/j.engappai.2017.01.007
  11. Ahmed A, Abu Bakar K, Channa MI, Haseeb K, Khan AW. A trust aware routing protocol for energy constrained wireless sensor network. Telecommunication Systems. 2016;61(1):123–140. Available from: https://dx.doi.org/10.1007/s11235-015-0068-8
  12. Liu Y, Dong M, Ota K, Liu A. ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks. IEEE Transactions on Information Forensics and Security. 2016;11(9):2013–2027. Available from: https://dx.doi.org/10.1109/tifs.2016.2570740
  13. Zahariadis T, Trakadas P, Leligou HC, Maniatis S, Karkazis P. A Novel Trust-Aware Geographical Routing Scheme for Wireless Sensor Networks. Wireless Personal Communications. 2013;69:805–826. Available from: https://dx.doi.org/10.1007/s11277-012-0613-7
  14. Xia H, Jia Z, Li X, Ju L, Sha EHM. Trust prediction and trust-based source routing in mobile ad hoc networks. Ad Hoc Networks. 2013;11(7):2096–2114. Available from: https://dx.doi.org/10.1016/j.adhoc.2012.02.009
  15. Ayyasamy A, Venkatachalapathy K. Context aware adaptive fuzzy based QoS routing scheme for streaming services over MANETs. Wireless Networks. 2015;21:421–430. Available from: https://dx.doi.org/10.1007/s11276-014-0801-3
  16. Jiang J, Han G, Wang F, Shu L, Guizani M. An Efficient Distributed Trust Model for Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems. 2015;26(5):1228–1237. Available from: https://dx.doi.org/10.1109/tpds.2014.2320505
  17. Tamilselvan S, Venkatachalapathy K, Ayyasamy A. An Efficient Energy Conservation using Diffusion Update Algorithm in Wireless Sensor Networks. International Journal of Control Theory and Applications. 2016;9(2):521–529. Available from: https://serialsjournals.com/abstract/69814_14.pdf
  18. Airehrour D, Gutierrez JA, Ray SK. SecTrust-RPL: A secure trust-aware RPL routing protocol for Internet of Things. Future Generation Computer Systems. 2019;93:860–876. Available from: https://dx.doi.org/10.1016/j.future.2018.03.021
  19. Wang R, Zhang Z, Zhang Z, Jia Z. ETMRM: An Energy-efficient Trust Management and Routing Mechanism for SDWSNs. Computer Networks. 2018;139:119–135. Available from: https://dx.doi.org/10.1016/j.comnet.2018.04.009
  20. Logambigai R, Ganapathy S, Kannan A. Energy–efficient grid–based routing algorithm using intelligent fuzzy rules for wireless sensor networks. Computers & Electrical Engineering. 2018;68:62–75. Available from: https://dx.doi.org/10.1016/j.compeleceng.2018.03.036
  21. Mythili V, Suresh A, Devasagayam MM, Dhanasekaran R. SEAT-DSR: Spatial and energy aware trusted dynamic distance source routing algorithm for secure data communications in wireless sensor networks. Cognitive Systems Research. 2019;58:143–155. Available from: https://dx.doi.org/10.1016/j.cogsys.2019.02.005
  22. Xu C, Xiong Z, Zhao G, Yu S. An Energy-Efficient Region Source Routing Protocol for Lifetime Maximization in WSN. IEEE Access. 2019;7:135277–135289. Available from: https://dx.doi.org/10.1109/access.2019.2942321
  23. Haseeb K, Abbas N, Saleem MQ, Sheta OE, Awan K, Islam N, et al. RCER: Reliable Cluster-based Energy-aware Routing protocol for heterogeneous Wireless Sensor Networks. PLOS ONE. 2019;14(9). Available from: https://dx.doi.org/10.1371/journal.pone.0222009
  24. Ketshabetswe LK, Zungeru AM, Mangwala M, Chuma JM, Sigweni B. Communication protocols for wireless sensor networks: A survey and comparison. Heliyon. 2019;5. Available from: https://dx.doi.org/10.1016/j.heliyon.2019.e01591
  25. Rajeswari AR. A Mobile Ad Hoc Network Routing Protocols: A Comparative Study. Recent Trends in Communication Networks. 2020. Available from: https://doi:10.5772/intechopen.92550
  26. Shafiq M, Ashraf H, Ullah A, Tahira S. Systematic Literature Review on Energy Efficient Routing Schemes in WSN – A Survey. Mobile Networks and Applications. 2020;25(3):882–895. Available from: https://dx.doi.org/10.1007/s11036-020-01523-5
  27. Rodríguez A, Del-Valle-Soto C, Velázquez R. Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on Yellow Saddle Goatfish Algorithm. Mathematics. 2020;8(9):1515. Available from: https://dx.doi.org/10.3390/math8091515
  28. Del-Valle-Soto C, Velázquez R, Valdivia LJ, Giannoccaro NI, Visconti P. An Energy Model Using Sleeping Algorithms for Wireless Sensor Networks under Proactive and Reactive Protocols: A Performance Evaluation. Energies. 2020;13:3024. Available from: https://dx.doi.org/10.3390/en13113024
  29. Hady AA, El-kader SMA, Eissa HS. Intelligent Sleeping Mechanism for wireless sensor networks. Egyptian Informatics Journal. 2013;14(2):109–115. Available from: https://dx.doi.org/10.1016/j.eij.2013.03.002
  30. Han G, Jiang J, Shu L, Niu J, Chao HC. Management and applications of trust in Wireless Sensor Networks: A survey. Journal of Computer and System Sciences. 2014;80(3):602–617. Available from: https://dx.doi.org/10.1016/j.jcss.2013.06.014
  31. Duan J, Yang D, Zhu H, Zhang S, Zhao J. TSRF: A Trust-Aware Secure Routing Framework in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2014;10(1). Available from: https://dx.doi.org/10.1155/2014/209436

Copyright

© 2020 Rajasekaran et al.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).

DON'T MISS OUT!

Subscribe now for latest articles and news.