nach oben

Peer-to-Peer Networking and Applications

Erschienen in:

11.09.2019

RETRACTED ARTICLE: Machine learning based multi scale parallel K-means++ clustering for cloud assisted internet of things

verfasst von: S. K. Mydhili, S. Periyanayagi, S. Baskar, P. Mohamed Shakeel, P. R. Hariharan

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 6/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Cloud assisted Internet of Things (CIoT) is the technology initiated towards the deployment of virtualization in wireless sensor networks (WSN). In the Recent times, parallel clustering routing schemes is the significant area of research to optimize energy and scalability problem in WSN on CIoT. In clustering schemes, Data collection, Aggregation and communication is the important activity which has been optimized through various conventional approaches which are not accounted to generate balanced clusters with optimum energy consumption and closer to corresponding cluster heads. In this research the novel Multi Scale Parallel K-means++ (MSPK++) clustering algorithm with balanced clustering has been proposed and improved further by applying machine learning techniques suitable for WSN on CIoT environment. The algorithm convergence has been proved globally and locally whereas the simulations are experimentally validated for the proposed algorithm in comparison with state of art algorithms in an acceptable complexity.

Vorheriger Artikel An intelligent approach for energy efficient trajectory design for mobile sink based IoT supported wireless sensor networks

Nächster Artikel A distributed intelligent mobile application for analyzing travel big data analytics

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Fourati L, El-Kaffel S, Mnaouer AB, Touati F (2018, April) Investigations on recent power-aware opportunistic protocols in WSN. In: 2018 wireless days (WD). IEEE, pp 187–189

Al-Kiyumi RM, Foh CH, Vural S, Chatzimisios P, Tafazolli R (2018) Fuzzy logic-based routing algorithm for lifetime enhancement in heterogeneous wireless sensor networks. IEEE Transactions on Green Communications and Networking 2(2):517–532CrossRef

Rodriguez-Zurrunero R, Utrilla R, Rozas A, Araujo A (2019) Process management in IoT operating systems: cross-influence between processing and communication tasks in end-devices. Sensors 19(4):805CrossRef

Chang C, Srirama SN, Buyya R (2019) Internet of things (IoT) and new computing paradigms. In: Fog and edge computing: principles and paradigms, pp 1–23

Rakhi, & Pahuja, G. L. (2019) A reliable solution of path optimisation in LEACH protocol by implementing trust-based neural network. International Journal of Communication Networks and Distributed Systems 22(1):55–73CrossRef

Baskar S, Dhulipala VR (2018) M-CRAFT-modified multiplier algorithm to reduce overhead in fault tolerance algorithm in wireless sensor networks. J Comput Theor Nanosci 15(4):1395–1401CrossRef

Karaboga D, Kaya E (2018) Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey. Artif Intell Rev:1–31

Baskar S, Dhulipala VR (2018) Biomedical rehabilitation: data error detection and correction using two dimensional linear feedback shift register based cyclic redundancy check. Journal of Medical Imaging and Health Informatics 8(4):805–808CrossRef

Huda S, Miah S, Yearwood J, Alyahya S, Al-Dossari H, Doss R (2018) A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network. Journal of Parallel and Distributed Computing 120:23–31CrossRef

10.

Liu D, Yang C, Li S, Chen X, Ren J, Liu R et al (2018) FitCNN: a cloud-assisted and low-cost framework for updating CNNs on IoT devices. Futur Gener Comput Syst

11.

Peng H, Si S, Awad MK, Zhang N, Zhao H, Shen XS (Dec. 2016) Toward energy-efficient and robust large-scale WSNs: a scale-free network approach. IEEE J Sel Areas Commun 34(12):4035–4047CrossRef

12.

Yuan X, Elhoseny M, El-Minir HK, Riad AM (Jan 2017) A genetic algorithm-based, dynamic clustering method towards improved WSN longevity. J Netw Syst Manage 25(1):21–46CrossRef

13.

Gupta P, Sharma AK (2019) Clustering-based optimized HEED protocols for WSNs using bacterial foraging optimization and fuzzy logic system. Soft Comput 23(2):507–526CrossRef

14.

Mohamed Shakeel P, Tobely TEE, Al-Feel H, Manogaran G, Baskar S (2019, Page(s): 1) Neural network based brain tumor detection using wireless infrared imaging sensor. IEEE Access 7:5577–5588CrossRef

15.

Jamil F, Iqbal M, Amin R, Kim D (2019) Adaptive thermal-aware routing protocol for wireless body area network. Electronics 8(1):47CrossRef

16.

Li J, Luo H, Zhang S, Li H, Yan F (2019) Design and implementation of efficient control for incoming inter-domain traffic with information-centric networking. J Netw Comput Appl 133:109–125CrossRef

17.

Ahad, S. A., Padmanabhan, A., Gangoli, V., & Kumar, P. (2019). US Patent Application No 15/664,224

18.

Stamou A, Kakkavas G, Tsitseklis K, Karyotis V, Papavassiliou S (2019) Autonomic network management and cross-layer optimization in software defined radio environments. Future Internet 11(2):37CrossRef

19.

Zam A, Khayyambashi MR, Bohlooli A (2019) Energy-aware strategy for collaborative target-detection in wireless multimedia sensor network. Multimed Tools Appl:1–21

20.

Preeth SKSL, Dhanalakshmi R, Kumar R, Shakeel PM (2018) An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system. J Ambient Intell Humaniz Comput:1–13. https://doi.org/10.1007/s12652-018-1154-z

21.

Son J, Buyya R (2018) A taxonomy of software-defined networking (SDN)-enabled cloud computing. ACM Computing Surveys (CSUR) 51(3):59

22.

Baskar S, Periyanayagi S, Shakeel PM, Dhulipala VS (2019) An energy persistent range-dependent regulated transmission communication model for vehicular network applications. Comput Netw 152:144–153CrossRef

23.

Batra PK, Kant K (2018) An energy-aware clustering algorithm for wireless sensor networks: GA-based approach. International Journal of Autonomous and Adaptive Communications Systems 11(3):275–292CrossRef

24.

Asadi M, Mazinani SM (2019) Presenting a new clustering algorithm by combining intelligent bat and chaotic map algorithms to improve energy consumption in wireless sensor network. In: Fundamental research in electrical engineering. Springer, Singapore, pp 913–929CrossRef

25.

Shakeel PM, Baskar S, Dhulipala VS, Mishra S, Jaber MM (2018 Oct 1) Maintaining security and privacy in health care system using learning based deep-Q-networks. J Med Syst 42(10):186. https://doi.org/10.1007/s10916-018-1045-zCrossRef

26.

Chang Y, Yuan X, Li B, Niyato D, Al-Dhahir N (2019) Machine-learning-based parallel genetic algorithms for multi-objective optimization in ultra-reliable low-latency WSNs. IEEE Access 7:4913–4926CrossRef

27.

Chang Y, Tang H, Cheng Y, Zhao Q, Li B, Yuan B (Jul. 2017) Dynamic hierarchical energy-efficient method based on combinatorial optimization for wireless sensor networks. Sensors 17(7):1665–1679CrossRef

28.

Almajidi AM, Pawar VP, Alammari A (2019) K-means-based method for clustering and validating wireless sensor network. In: International conference on innovative computing and communications. Springer, Singapore, pp 251–258CrossRef

Titel: RETRACTED ARTICLE: Machine learning based multi scale parallel K-means++ clustering for cloud assisted internet of things
verfasst von: S. K. Mydhili
S. Periyanayagi
S. Baskar
P. Mohamed Shakeel
P. R. Hariharan
Publikationsdatum: 11.09.2019
Verlag: Springer US
Erschienen in: Peer-to-Peer Networking and Applications / Ausgabe 6/2020
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-019-00800-9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 6/2020

Improved community structure discovery algorithm based on combined clique percolation method and K-means algorithm

Reliable data dissemination for the Internet of Things using Harris hawks optimization

Correction to: Reliable data dissemination for the internet of things using Harris hawks optimization

Efficient distributed privacy-preserving collaborative outlier detection

Functional encryption with application to machine learning: simple conversions from generic functions to quadratic functions

CSNN: Password guessing method based on Chinese syllables and neural network