Abstract
Congestion is one of the biggest problems faced by resource-constrained networks. Researchers have developed various congestion control strategies for sensor-based networks, but these strategies have mostly focused on the natural ways of congestion occurrence and neglected the possibility of malicious nodes intentionally creating congestion-like conditions. Moreover, Congestion occurs in WSNs for a variety of reasons such as resource constraints, many-to-one transmission manner, traffic bursts, packet forwarding and receiving rate mismatch, etc. This fact led to the development of a security attack-resistant congestion control mechanism that accounts for both potential sources of congestion in sensor nodes using multi-criteria decision-making (MCDM) approach as multiple factors are responsible for the existence of this undesired event. The proposed technique security aware congestion control using fuzzy AHP (SACC-FAHP) is an extension of the SACC-AHP technique. Since the AHP technique has a major limitation of subjective judgment. The fuzzy logic approach has improved the decision-making ability of basic AHP since it does not cover vagueness in personal judgments. Both techniques have been compared under the same simulation environment. According to the results of the simulation, SACC-FAHP produces better results than SACC-AHP.
Data availability
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
References
Pandey D, Kushwaha V (2020) An exploratory study of congestion control techniques in wireless sensor networks. Comput Commun 157:257–283. https://doi.org/10.1016/j.comcom.2020.04.032
Kushwaha V, Gupta R (2014) Congestion control for high-speed wired network: A systematic literature review. J Netw Comput Appl 45:62–78
Zheng J, Jamalipour A (2009) Wireless sensor networks: a networking perspective. Wiley, New York. https://doi.org/10.1002/9780470443521
Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52:2292–2330. https://doi.org/10.1016/j.comnet.2008.04.002
Özdağoğlu A, Özdağoğlu G (2007) Comparison of AHP and fuzzy AHP for the multi-criteria decision-making processes with linguistic evaluations. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 6(11):65–85
Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1:83–98
Pandey D, Kushwaha V (2023) The use of Analytical Hierarchy Process in sensor-based networks for security-aware congestion control. NHM 18(1):244–274
Kushwaha V, Ratneshwer Ź (2016) Ranking of source-based congestion control approaches for high speed networks using AHP. Int J Commun Netw Distrib Syst 17(4):387–411
Sun L, Dong H, Liu AX (2018) Aggregation function considering criteria interrelationships in fuzzy multi-criteria decision making: state-of-the-art. IEEE Access 6:68104–68136
Dezert J, Tchamova A, Han D, Tacnet J (2020) Simplification of multi-criteria decision making using inter criteria analysis and belief function. In: Proceedings of the 2019 22nd international conference on information fusion (FUSION), Ottawa, ON, Canada, 2–5 July 2020
Mukherjee P, Pattnaik PK, Al-Absi AA, Kang DK (2021) Recommended system for cluster head selection in a remote sensor cloud environment using the fuzzy-based multi-criteria decision-making technique. Sustainability 13(19):10579
Pandey D, Kushwaha V (2023) A trust-based security aware congestion control algorithm for wireless sensor networks. Ad Hoc Sensor Wirel Netw 1–42
Heinzelman WR, Chandrakasan A, Balakrishnan H (2000) Energy efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd annual Hawaii international conference on system sciences. IEEE, pp 10-pp
Pandey D, Kushwaha V (2019) Performance parameter analysis of congestion control in wireless sensor networks. In: 2019 4th international conference on information systems and computer networks (ISCON). IEEE, pp 656–661
Kushwaha V (2013) An analysis of performance parameters for congestion control in high-speed wired network. In: 2013 4th international conference on computer and communication technology (ICCCT). IEEE, pp 133–138
Acknowledgements
The authors are grateful for the financial support provided by the UGC, New Delhi through the Senior Research Fellowship. The authors thank all the faculties and researchers of the Department of Computer Science, Banaras Hindu University for the continuous and fruitful discussion on this topic.
Funding
The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.
Author information
Authors and Affiliations
Contributions
DP designed the architecture, experiments, and data analysis and wrote the paper. VK guided the paper writing and revised the paper. All authors reviewed and authenticated the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose. On behalf of all authors, the corresponding author states that there is no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kushwaha, V., Pandey, D. Security Aware Congestion Management Using Fuzzy Analytical Hierarchal Process for Wireless Sensor Networks. Natl. Acad. Sci. Lett. (2023). https://doi.org/10.1007/s40009-023-01290-3
Published:
DOI: https://doi.org/10.1007/s40009-023-01290-3