Abstract
Mobile Wireless sensor network conveys an innovative archetype of real time systems by means of restricted computation, transmission, storage, and vigor resources utilized for massive range of appliances wherever traditional system is frequently infeasible. Sensor nodes are compactly organized in an aggressive atmosphere to observe, identify, and scrutinize physical occurrence and utilized significant quantity of energy during broadcasting information. It is unfeasible and occasionally impractical to change battery and to preserve wider network lifetime. So, duration of battery and energy preservation is an exigent complication. Exact ClusterHead determination is one of the concerns that can condense energy utilization considerably. Low-energy adaptive-clustering hierarchy (LEACH) is most prominent hierarchical routing technique, ClusterHead is nominated in alternation basis related on probabilistic threshold cost and CHs are permitted to transfer events to basestation. In proposed FCHIDS tactic, a Outstanding-ClusterHead is nominated among CHs in cluster that can transfer information to mobile basestation by deciding appropriate fuzzy factors outstanding battery power, basestation mobility, clusters centrality and intrusion detection system. Fuzzy assumption engine is utilized to decide Outstanding-ClusterHead. The consequences are from simulating NS-2 and illustrations shows that proposed FCHIDS tactic achieves upto 5% superior than LEACH technique in provisions with partial amount of nodes active, enhanced constancy, and improved lifetime. Consequently it achieves upto 5% reduction in initial node expires from network than LEACH technique.














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23 May 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12652-022-03947-1
References
Akkaya K, Younis M (2005) A survey on routing protocols for wireless sensor networks. Ad Hoc Netw 3(3):325–349
Ashutosh KS, Purohit N (2014) An optimised fuzzy clustering for wireless sensor networks. Int J Electron 101(8):1027–1041
Chehreghani MH, Chehreghani MH, Abolhassani H (2012) Probabilistic heuristics for hierarchical web data clustering. Comput Intell 28(2):209–233
Douzi S, Benchaji I, El Ouahidi B (2018) Hybrid approach for intrusion detection using fuzzy association rules plus anomaly and misuse detection. Int J Mach Learn Comput 8(5)
Enokido T, Aikebaier A, Takizawa M (2011) An extended power consumption-based algorithm for communication-based applications. J Ambient Intell Humaniz Comput 2:263–270
Farman H, Javed H, Jan B, Ahmad J, Ali S, Khalil FN et al (2017) Analytical network process based optimum cluster head selection in wireless sensor network. PLoS One 12(7):1–28
Gaurav S, Reshmi TR (2018) A fuzzy-logic based clustering algorithm in WSN to extend network lifetime. Int J Appl Eng Res 13(10):7711–7718
Gupta M, Chaudhari NS (2019) Anonymous roaming authentication protocol for wireless network with backward unlinkability, exculpability and efficient revocation check. J Ambient Intell Humaniz Comput 10:4491–4501
Hamzah A, Shurman M, Al-Jarrah O, Taqieddin E (2019) Energy-efficient fuzzy-logic-based clustering technique for hierarchical routing protocols in wireless sensor networks. Sensors
Heinzelman WB, Chandrakasan A, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Trans Wirel Commun 1(4):660–670
Janish, Katiyar M (2016) A survey on energy efficiency and cluster handling in real time wireless sensor networks. IOSR J Comput Eng 18(5):43–46 (e-ISSN: 2278-0661, p-ISSN: 2278-8727)
Jayarajan P, Kanagachidambaresan GR, Sundararajan TVP et al (2018) An energy-aware buffer management (EABM) routing protocol for WSN. J Supercomput. https://doi.org/10.1007/s11227-018-2582-4
Kashyap PK, Kumar S (2019) Genetic-fuzzy based load balanced protocol for WSNs. Int J Electric Comput Eng 9(2):1168–1183
Khan ZA, Herrmann P (2019) Recent advancements in intrusion detection systems for the internet of things. Secur Commun Netw. https://doi.org/10.1155/2019/4301409
Kwon SK, Jung K-D, Lee J-Y (2017) WSN protocol based on LEACH protocol using fuzzy. Int J Appl Eng Res 12(20):10013–10018 ((ISSN 0973-4562))
Mehra PS, MN Doja, Alam B (2018) Fuzzy based enhanced cluster head selection (FBECS) for WSN. J King Saud Univ Sci
Nehra V, Pal R, Sharma AK (2013) Fuzzy-based leader selection for topology controlled PEGASIS protocol for lifetime enhancement in wireless sensor network. Int J Comput Technol 4(3):755–764
Rais A, Bouragba K, Ouzzif M (2019) Routing and clustering of sensor nodes in the honeycomb architecture. J Comput Netw Commun. https://doi.org/10.1155/2019/4861294
Rajesh D, Jaya T (2019) Exploration on cluster related energy proficient routing in mobile wireless sensor network. Int J Innov Technol Explor Eng 8(4)
Rajesh D, Jaya T (2020) A mathematical model for energy efficient secured CH clustering protocol for mobile wireless sensor network. Wirel Pers Commun. https://doi.org/10.1007/s11277-020-07036-4
Ren J, Guo J, Qian W, Yuan H, Hao X, Jingjing Hu (2019) Building an effective intrusion detection system by using hybrid data optimization based on machine learning algorithms. Secur Commun Netw. https://doi.org/10.1155/2019/7130868
Shanmugavadivu R, Nagarajan N (2011) Network intrusion detection system using fuzzy logic. Indian J Comput Sci Eng 2(1)
Sharma T, Kumar B (2012) F-MCHEL: fuzzy based master cluster head election Leach protocol in wireless sensor network. Int J Comput Sci Telecommun 3(10):8–13
Taheri H, Neamatollahi P, Younis OM, Naghibzadeh S, Yaghmaee MH (2012) An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic. Ad Hoc Netw 10(7):1469–1481
Wang Y-C, Wu F-J, Tseng Y-C (2012) Mobility management algorithms and applications for mobile sensor networks. Wirel Commun Mob Comput 12(1):7–21
Zhang C, Yang Y, Du Z et al (2016) Particle swarm optimization algorithm based on ontology model to support cloud computing applications. J Ambient Intell Humaniz Comput 7:633–638
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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-03947-1"
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Rajesh, D., Jaya, T. RETRACTED ARTICLE: Enhancement of network lifetime by fuzzy based secure CH clustered routing protocol for mobile wireless sensor network. J Ambient Intell Human Comput 13, 2795–2805 (2022). https://doi.org/10.1007/s12652-021-03170-4
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DOI: https://doi.org/10.1007/s12652-021-03170-4