A Dynamic Fuzzy Based High-Efficiency Clustering and Intrusion Prevention Routing Protocol for IOT Based Wireless Sensor Networks.

Authors

  • J. Devasundarraj, M. Arasakumar, C. N. S. Vinoth Kumar

Keywords:

necessitated, optimization, Achieving, Performance metrics

Abstract

The rapid expansion of the Internet of Things necessitated the development of numerous services, programs, electronic devices with built-in sensors, and associated protocols, all of which are currently active. With the help of the internet of things, real-life objects can now see, hear, think, and do remarkable things thanks to improved communication, data sharing, and decision-making capabilities. The growth of the Internet of Things (IoT) relies heavily on wireless sensor networks (WSNs), which are made up of inexpensive smart devices that collect data. But there are limits to the amount of processing power, memory, and energy that these smart gadgets can use. Achieving dependability while protecting transmitted data in a susceptible environment using energy-saving strategies is one of the main problems for WSN. Wireless sensor networks have a major issue with energy efficiency. Due to their dependence on batteries, sensor networks eventually fail. In order to alleviate these issues, this article presents the DFHC-IPR protocol for WSN-assisted IoT systems, which stands for dynamic fuzzy-based high-efficiency clustering and intrusion prevention routing protocol. An energy-efficient clustering technique called dynamic fuzzy multi-criteria decision making is used, which is a combination of fuzzy AHP with TOPSIS to find the best cluster heads. An intrusion prevention optimization technique is employed for routing purposes to improve data delivery security. The proposed method's first step is to use nodes' inherent properties to form various energy-efficient clusters. In addition, the (k,n) threshold-based Shamir secret sharing system ensures the confidentiality and dependability of the sensory information between the cluster head and the base station (BS). Performance metrics, including throughput, energy economy, and data security, have all been enhanced by implementing and comparing this routing protocol with two other existing protocols.

Downloads

Download data is not yet available.

References

Kharrufa H, Al-Kashoash HA and Kemp AH. RPLbased routing protocols in IoT applications: a review. IEEE Sens J 2019; 19(15): 5952–5967.

Lin JW, Chelliah PR, Hsu MC, et al. Efficient faulttolerant routing in IoT wireless sensor networks based on bipartite-flow graph modeling. IEEE Access 2019; 7: 14022–14034.

Ercan AO¨, Sunay MO and Akyildiz IF. RF energy harvesting and transfer for spectrum sharing cellular IoT communications in 5G systems. IEEE T Mobile Comput 2017; 17(7): 1680–1694.

Ahmed E, Yaqoob I, Gani A, et al. Internet-of-thingsbased smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel Commun 2016; 23(5): 10–16.

Downie, J.D.; Nederlof, L.; Sutherland, J.S.; Wagner, R.E.; Webb, D.A.; Whiting, M.S. Radio Frequency Identification (RFID) Connected Tag Communications Protocol and Related Systems and Methods. U.S. Patent No. 9,652,707, 16 May 2017.

Koch, M.J.; Swope, C.B.; Bekritsky, B.J. System for, and Method of, Accurately and Rapidly Determining, in Real-Time, True Bearings of Radio Frequency Identification (RFID) Tags Associated with Items in a Controlled area. U.S. Patent 9,773,136, 26 September 2017.

Miorandi, D.; Sicari, S.; De Pellegrini, F.; Chlamtac, I. Internet of things: Vision, applications and research challenges. Ad Hoc Netw. 2012, 10, 1497–1516. [CrossRef]

Hong Z, Pan X, Chen P, Su X, Wang N, Lu W (2018) A topology control with energy balance in underwater wireless sensor networks for IoT-based application. Sensors 18:2306

Sharma, N.; Sharma, A.K. Cost analysis of hybrid adaptive routing protocol for heterogeneous wireless sensor network. Sadhan ¯ a¯ 2016, 41, 283–288. [CrossRef]

Wang, K.; Wang, Y.; Sun, Y.; Guo, S.; Wu, J. Green industrial Internet of things architecture: An energy-efficient perspective. IEEE Commun. Mag. 2016, 54, 48–54. [CrossRef]

Abo-Zahhad, M.; Ahmed, S.M.; Sabor, N.; Sasaki, S. Mobile sink-based adaptive immune energy-efficient clustering protocol for improving the lifetime and stability period of wireless sensor networks. IEEE Sens. J. 2015, 15, 4576–4586. [CrossRef]

Batra, P.K.; Kant, K. LEACH-MAC: A new cluster head selection algorithm for wireless sensor networks. Wirel. Netw. 2016, 22, 49–60. [CrossRef]

Chen, G.; Li, C.; Ye, M.; Wu, J. An unequal cluster-based routing protocol in wireless sensor networks. Wirel. Netw. 2009, 15, 193–207. [CrossRef]

Hassanabadi, B.; Shea, C.; Zhang, L.; Valaee, S. Clustering in vehicular ad hoc networks using affinity propagation. Ad Hoc Netw. 2014, 13, 535–548. [CrossRef]

Xiong, Z.; Guo, T.; Xue, Z.; Cai, W.; Cai, L.; Luo, N. Online energy-efficient deployment based on equivalent continuous DFS for large-scale web cluster. Clust. Comput. 2018, 22, 583–596. [CrossRef]

Farman H, Jan B, Javed H, Ahmad N, Iqbal J, Arshad M, Ali S (2018) Multi-criteria based zone head selection in internet of things based wireless sensor networks. Future Gener Comp Syst 87:364–371

Mahajan S, Dhiman PK (2016) Clustering in WSN: a review. Int J Adv Res Comput Sci 7(3):198–201

Batra, P.K.; Kant, K. LEACH-MAC: A new cluster head selection algorithm for wireless sensor networks. Wirel. Netw. 2016, 22, 49–60. [CrossRef]

Hassanabadi, B.; Shea, C.; Zhang, L.; Valaee, S. Clustering in vehicular ad hoc networks using affinity propagation. Ad Hoc Netw. 2014, 13, 535–548. [CrossRef]

Bian, X.; Liu, X.; Cho, H. Study on a cluster-chain routing protocol in wireless sensor networks. In Proceedings of the 2008 Third International Conference on Communications and Networking in China, Hangzhou, China, 25–27 August 2008; pp. 964–968.

Enam, R.N.; Qureshi, R.; Misbahuddin, S. A uniform clustering mechanism for wireless sensor networks. Int. J. Distrib. Sens. Netw. 2014, 2014, 1–14. [CrossRef]

Das, S.K.; Tripathi, S.; Burnwal, A. Intelligent energy competency multipath routing in wanet. In Information Systems Design and Intelligent Applications; Springer: Heidelberg, Germany, 2015; pp. 535–543.

Latif, K.; Ahmad, A.; Javaid, N.; Khan, Z.; Alrajeh, N. Divide-and-rule scheme for energy efficient routing in wireless sensor networks. Procedia Comput. Sci. 2013, 19, 340–347. [CrossRef]

Lou, C.; Zhuang, W. Energy-efficient routing over coordinated sleep scheduling in wireless ad hoc networks. Peer-to-Peer Netw. Appl. 2016, 9, 384–396. [CrossRef]

Rani, S.; Talwar, R.; Malhotra, J.; Ahmed, S.H.; Sarkar, M.; Song, H. A novel scheme for an energy efficient Internet of Things based on wireless sensor networks. Sensors 2015, 15, 28603–28626. [CrossRef]

Airehrour, D.; Gutierrez, J.; Ray, S.K. Secure routing for internet of things: A survey. J. Netw. Comput. Appl. 2016, 66, 198–213. [CrossRef]

Deebak, B.D.; Al-Turjman, F. A hybrid secure routing and monitoring mechanism in IoT-based wireless sensor networks. Ad Hoc Netw. 2020, 97, 102022. [CrossRef]

Yang, T.; Xiangyang, X.; Peng, L.; Tonghui, L.; Leina, P. A secure routing of wireless sensor networks based on trust evaluation model. Procedia Comput. Sci. 2018, 131, 1156–1163. [CrossRef]

Safara, F.; Souri, A.; Baker, T.; Al Ridhawi, I.; Aloqaily, M. PriNergy: A priority-based energy-efficient routing method for IoT systems. J. Supercomput. 2020, 76, 8609–8626. [CrossRef]

Selvakumar, K., & Revathy, G. (2018). Channel assinment using tabu search in wireless mesh networks. Wireless Personal Communications, 100, 1633-1644.

Guan, X.; Guan, L.; Wang, X.G.; Ohtsuki, T. A new load balancing and data collection algorithm for energy saving in wireless sensor networks. Telecommun. Syst. 2010, 45, 313–322. [CrossRef]

Yuea, J.; Zhang, W.; Xiao, W.; Tang, D.; Tang, J. Energy efficient and balanced cluster-based data aggregation algorithm for wireless sensor networks. Procedia Eng. 2012, 29, 2009–2015. [CrossRef]

Han G, Zhou L, Wang H, Zhang W, Chan S (2018) A source location protection protocol based on dynamic routing in WSNs for the social internet of things. Future Gener Comp Syst 82:689–697

Shamir, A. How to share a secret. Commun. ACM 1979, 22, 612–613. [CrossRef]

Downloads

Published

12.06.2024

How to Cite

J. Devasundarraj. (2024). A Dynamic Fuzzy Based High-Efficiency Clustering and Intrusion Prevention Routing Protocol for IOT Based Wireless Sensor Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 2928–2940. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6778

Issue

Section

Research Article