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RETRACTED ARTICLE: Optimization of QoS parameters using scheduling techniques in heterogeneous network

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This article was retracted on 05 September 2023

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Abstract

Multimedia applications in wireless communication have been increased in recent years. A variety of wireless access technologies is introduced for various needs. The abundant increase in mobile computing devices and different networking systems leads to the support of user’s mobility on heterogeneous network. In general, the roaming users migrate between two different wireless technologies and their service must be supported by vertical handover (HO). Since the roaming users expect a rapid handover experience while switching from one wireless network to another, the handover operation must be enhanced by the networks. Various wireless technologies such as wireless LAN, Worldwide Interoperability for Microwave Access (WiMAX), and the 3G Partnership Project (3GPP) are interlaced to support many wireless services in rural, urban, and global scenarios. Moreover, quality of service (QoS) has become more significant in many applications where wireless network resources are utilized. In this paper, a handover management scheme is proposed for QoS enhancement in roaming users between WiMAX and WLAN by subscribers of networks belonging to the 3GPP standards. The proposed algorithms genetic queuing, proportionally fair queuing, and WiMAX aware load balancing are analyzed in the scheduling process during handover. The simulation is implemented using NS–2 and the experimental results are obtained for the proposed algorithms and compared with the standard scheme.

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References

  1. Banerjee N, Wu W, Das SK (2003) Mobility support in wireless internet. IEEE Wirel Commun 10(5):54–61

    Article  Google Scholar 

  2. Kumar PM, Gandhi U, Varatharajan R, Manogaran G, Jidhesh R, Vadivel T (2017) Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things. Clust Comput. https://doi.org/10.1007/s10586-017-1323-4

  3. Kumar PM, Gandhi UD (2017) A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases. Comput Electr Eng. https://doi.org/10.1016/j.compeleceng.2018.02.045

  4. Gandhi UD, Kumar PM, Varatharajan R, Manogaran G, Sundarasekar R, Kadu S (2018) HIoTPOT: surveillance on IoT devices against recent threats. Wirel Pers Commun. https://doi.org/10.1007/s11277-018-5307-3

  5. Xu F, Zhang L, Zhou Z (2007) Interworking of WiMAX and 3GPP networks based on IMS. IEEE Comun Mag 45:144–150

    Article  Google Scholar 

  6. Kumar PM, Gandhi UD (2017) Enhanced DTLS with CoAP-based authentication scheme for the internet of things in healthcare application. J Supercomput. https://doi.org/10.1007/s11227-017-2169-5

    Article  Google Scholar 

  7. Rawal BS, Vijayakumar V, Manogaran G, Varatharajan R, Chilamkurti N (2018) Secure disintegration protocol for privacy preserving cloud storage. Wirel Pers Commun. https://doi.org/10.1007/s11277-018-5284-6

  8. Manogaran G, Lopez D (2017) Spatial cumulative sum algorithm with big data analytics for climate change detection. Comput Electr Eng. https://doi.org/10.1016/j.compeleceng.2017.04.006

    Article  Google Scholar 

  9. Zheng X, Sarikaya B (2009) Handover keying and its uses. IEEE Netw 23(2):27–34

    Article  Google Scholar 

  10. Manogaran G, Lopez D (2017) A Gaussian process based big data processing framework in cluster computing environment. Clust Comput 21:1–16

    Article  Google Scholar 

  11. Varatharajan R, Vasanth K, Gunasekaran M, Priyan M, Gao XZ (2017) An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images. Comput Electr Eng. https://doi.org/10.1016/j.compeleceng.2017.05.035

    Article  Google Scholar 

  12. Varatharajan R, Manogaran G, Priyan MK, Sundarasekar R (2017) Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm. Clust Comput 1–10. https://doi.org/10.1007/s10586-017-0977-2

    Article  Google Scholar 

  13. Lee W, Kim E, Kim J, Lee I, Lee C (2007) Movement-aware vertical handoff of WLAN and mobile WiMAX for seamless ubiquitous access. IEEE Trans Consum Electron 53(4):1268–1275

    Article  Google Scholar 

  14. Aura T, Roe M (2005) Reducing reauthentication delay in wireless networks. IEEE appears in Security and Privacy for Emerging Areas in Communication Networks, First International Conference, pp 139–148

  15. Varatharajan R, Manogaran G, Priyan MK (2017) A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing. Multimed Tools Appl. https://doi.org/10.1007/s11042-017-5318-1

    Article  Google Scholar 

  16. Manogaran G, Varatharajan R, Lopez D, Kumar PM, Sundarasekar R, Thota C (2017) A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting. Futur Gener Comput Syst 80(5):1–10

  17. Manogaran G, Vijayakumar V, Varatharajan R, Kumar PM, Sundarasekar R, Hsu CH Machine learning based big data processing framework for cancer diagnosis using hidden Markov model and GM clustering. Wirel Pers Commun. https://doi.org/10.1007/s11063-004-0634-7

    Article  Google Scholar 

  18. Lee JH, Pack S, Kwon T, Choi Y (2011) Reducing handover delay by location management in mobile WiMAX multicast and broadcast services. IEEE Trans Veh Technol 60(2):605–617

    Article  Google Scholar 

  19. Manogaran G, Varatharajan R, Priyan MK (2017) Hybrid recommendation system for heart disease diagnosis based on multiple Kernel learning with adaptive neuro-fuzzy inference system. Multimed Tools Appl. https://doi.org/10.1007/s11042-017-5515-y

    Article  Google Scholar 

  20. Varatharajan R, Manogaran G, Priyan MK, Balaş VE, Barna C (2017) Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis. Multimed Tools Appl. https://doi.org/10.1007/s11042-017-4768-9

    Article  Google Scholar 

  21. Thota C, Sundarasekar R, Manogaran G, Varatharajan R, Priyan MK (2018) Centralized fog computing security platform for IoT and cloud in healthcare system. In: Exploring the convergence of big data and the internet of things. IGI Global. https://doi.org/10.4018/978-1-5225-2947-7.ch011

  22. Manogaran G, Lopez D (2016) Health data analytics using scalable logistic regression with stochastic gradient descent. Int J Adv Intell Paradigms 9:1–15

    Google Scholar 

  23. Manogaran G, Lopez D (2017) A survey of big data architectures and machine learning algorithms in healthcare. Int J Biomed Eng Technol 25(2–4):182–211

    Article  Google Scholar 

  24. Manogaran G, Thota C, Lopez D (2018) Human-computer interaction with big data analytics. In: HCI challenges and privacy preservation in big data security. IGI Global. https://doi.org/10.4018/978-1-5225-2863-0.ch001

  25. Lopez D, Manogaran G (2017) Parametric model to predict H1N1 influenza in Vellore District, Tamil Nadu, India. In: Handbook of statistics (vol. 37). Elsevier, Amsterdam, pp 301–316

    Google Scholar 

  26. Priyan MK, Nath CG, Balan EV, Prabha KR, Jeyanthi R (2015) Desktop phishing attack detection and elimination using TSO program. In: Smart technologies and management for computing, communication, controls, energy and materials (ICSTM), 2015 International Conference on. IEEE, p 198–201

  27. Lopez D, Manogaran G, Jagan J (2017) Modelling the H1N1 influenza using mathematical and neural network approaches. Biomed Res 28(8):1–5

    Google Scholar 

  28. Jin X, Min G (2009) Modelling and analysis of priority queueing systems with multi-class self-similar network traffic: a novel and efficient queue-decomposition approach. IEEE Trans Commun 57(5):1444–1452

    Article  Google Scholar 

  29. Lin S-H, Chiu J-H, Lee G-R (2010) A fast iterative localized re-authentication protocol for heterogeneous mobile networks. IEEE Trans 56(4):2267–2275

    Google Scholar 

  30. Oh H, Yoo K, Na J, Kim C-K (2010) A robust seamless handover scheme for the support of multimedia services in heterogeneous emerging wireless networks. Wireless Pers Communication, Springer, p 593–613

    Article  Google Scholar 

  31. Christopher C, Noor RM, Mostajeran E (2013) Optimizing wireless channel using adaptive modulation to improve QoS in VANET. Malays J Comput Sci 26(1):34–43

    Article  Google Scholar 

  32. Ko S, Chung K (2013) A handover–aware seamless video streaming scheme in heterogeneous wireless networks. Springer, Ann Telecommun

    Article  Google Scholar 

  33. Hassane A-AI, Renfa L, Fanzi Z (2012) Handover decision based on user preferences in heterogeneous wireless networks. Int J Comput Sci Telecommun 3(3):15–20

    Google Scholar 

  34. Xhafa AE, Tonguz OK (2004) Dynamic priority queueing of handover calls in wireless networks an analytical framework. IEEE J Sel Areas Commun 22(5):904–916

    Article  Google Scholar 

  35. Triantafyllopoulou D, Passas N, Kaloxylos A, Merakos L (2009) Coordinated handover initiation and cross-layer adaptation for mobile multimedia systems. IEEE Trans Multimedia 11(6):1131–1139

    Article  Google Scholar 

  36. Choi H-H (2010) An optimal handover decision for throughput enhancement. IEEE Commun Lett 14(9):851–853

    Article  Google Scholar 

  37. Jana S, Pande A, Chan A (Jack), Mohapatra P (2013) Mobile video chat: issues and challenges. IEEE Commun Mag 144–150

  38. Lin P, Cheng S-M, Liao W (2009) Modeling key caching for mobile IP authentication, authorization and accounting (AAA) services. IEEE Trans Veh Technol 58(7):3596–3608

    Article  Google Scholar 

Download references

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Correspondence to I. Chandra.

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Chandra, I., Prabha, K.H. & Sivakumar, N. RETRACTED ARTICLE: Optimization of QoS parameters using scheduling techniques in heterogeneous network. Pers Ubiquit Comput 22, 943–950 (2018). https://doi.org/10.1007/s00779-018-1133-6

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  • DOI: https://doi.org/10.1007/s00779-018-1133-6

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