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Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data

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Abstract

Due to the massive use of wireless Internet of Things (IoT), the advent of multimedia-big-data in recent decades poses numerous obstacles for successful contact with the virtual era. Mobile Adhoc Network-based IoT (MANET IoT) framework is increasingly common in this regard owing to its increased communication protocols and economic efficiency. MANET comprises arbitrary, battery-driven, roaming nodes that do not have architecture that can handle the traffic and control the IoT network. In MANET-IoT, energy usage and traffic management for the handling of MBD information are significant issues. For rapid and precise response, it is essential to route or forward information like the locations of happenings and defected in a disaster. However, it is difficult to transfer this information to the Wireless Sensor Network in disaster areas because the current networks are a disaster that has been removed. In these situations, the transmission of opportunistic knowledge may play a vital role. Current opportunistic protocols need large messages for the restoration of the cluster that leads to more energy consumption and packet loss. To overcome these issues, this work proposes the reliable, energy-efficient opportunistic protocol known as Opportunistic Density Clustering Routing Protocol. This method sends information opportunistically in emergencies and disasters through a density-clustering protocol. Results from simulations demonstrate that the designed protocol exceeds several well-known current routing mechanisms for network energy usage and dissemination of information.

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References

  1. Alameri, I. (2018). MANETS and Internet of Things: The development of a data routing algorithm. Engineering, Technology & Applied Science Research, 8, 2604–2608.

    Article  Google Scholar 

  2. Bruzgiene, R., Narbutaite, L., & Adomkus, T. (2017). MANET network in internet of things system. In Ad hoc networks (pp. 89–114).

  3. Al-Qarni, B. H., Almogren, A., & Hassan, M. M. (2019). An efficient networking protocol for internet of things to handle multimedia big data. Multimedia Tools Applications, 78, 30039–30056.

    Article  Google Scholar 

  4. Javed, F., Afzal, M. K., Sharif, M., & Kim, B.-S. (2018). Internet of Things (IoT) operating systems support, networking technologies, applications, and challenges: A comparative review. IEEE Communications Surveys & Tutorials, 20, 2062–2100.

    Article  Google Scholar 

  5. Rajasekar, V., Sathya, K., & Premalatha, J. (2018). Energy efficient cluster formation in wireless sensor networks based on multi objective bat algorithm. In International conference on intelligent computing and communication for smart world (I2C2SW) (pp. 116–120).

  6. Al-kahtani, M. S., Karim, L., & Khan, N. (2020). Efficient opportunistic routing protocol for sensor network in emergency applications. Electronics, 9, 455.

    Article  Google Scholar 

  7. Borawake-Satao, R., & Prasad, R. (2019). Mobility aware multi-objective routing in wireless multimedia sensor network. Multimedia Tools and Applications, 78, 32659–32677.

    Article  Google Scholar 

  8. Saračević, M., Plojović, Š., & Bušatlić, S. (2020). IoT application for smart cities data storage and processing based on triangulation method. In Internet of Things (IoT) (pp. 317–334). Springer.

  9. Rajasekar, V., Premalatha, J., & Sathya, K. (2020). Multi-factor signcryption scheme for secure authentication using hyper elliptic curve cryptography and bio-hash function. Bulletin of the Polish Academy of Sciences, Technical Sciences, 68, 923–935.

    Google Scholar 

  10. Saračević, M., Adamović, S., Miškovic, V., Elhoseny, M., Maček, N., Selim, M., et al. (2020). Data encryption for Internet of Things applications based on catalan objects and two combinatorial structures. IEEE Transactions on Reliability, 70, 819–830.

    Article  Google Scholar 

  11. Velliangiri, S., Kumar, S. A., & Karthikeyan, P. (2020). Internet of Things: Integration and security challenges. CRC Press.

    Book  Google Scholar 

  12. Rajasekar, V., Premalatha, J., & Sathya, K. (2020). Enhanced biometric recognition for secure authentication using iris preprocessing and hyperelliptic curve cryptography. In Wireless communications and mobile computing (Vol. 2020).

  13. Marappan, P., & Rodrigues, P. (2016). An energy-efficient routing protocol for correlated data using CL-LEACH in WSN. Wireless Networks, 22(1415–1423), 2016.

    Google Scholar 

  14. Bria, R., Wahab, A., & Alaydrus, M. (2019). Energy efficiency analysis of TEEN routing protocol with isolated nodes. In Fourth international conference on informatics and computing (ICIC) (pp. 1–5).

  15. Hawbani, A., Wang, X., Sharabi, Y., Ghannami, A., Kuhlani, H., & Karmoshi, S. (2018). LORA: Load-balanced opportunistic routing for asynchronous duty-cycled WSN. IEEE Transactions on Mobile Computing, 18, 1601–1615.

    Article  Google Scholar 

  16. He, Y., Tang, X., Zhang, R., Du, X., Zhou, D., & Guizani, M. (2019). A course-aware opportunistic routing protocol for FANETs. IEEE Access, 7, 144303–144312.

    Article  Google Scholar 

  17. Zhao, M., Kumar, A., Chong, P. H. J., & Lu, R. (2016). A reliable and energy-efficient opportunistic routing protocol for dense lossy networks. IEEE Wireless Communications Letters, 6, 26–29.

    Google Scholar 

  18. Rajasekar, V., Premalatha, J., Sathya, K., & Saračević, M. (2021). Secure remote user authentication scheme on health care, IoT and cloud applications: A multilayer systematic survey. Acta Polytechnica Hungarica, 18(3), 87–106.

    Article  Google Scholar 

  19. Amandeep, K., Gupta, P., & Garg, R. (2021). Soft computing techniques for clustering in WSN. In IOP conference series: Materials science and engineering (Vol. 1022, No. 1, p. 012041). IOP Publishing.

  20. Quy, V. K., Nam, V. H., Linh, D. M., et al. (2021). A survey of QoS-aware routing protocols for the MANET-WSN convergence scenarios in IoT networks. Wireless Personal Communications. https://doi.org/10.1007/s11277-021-08433-z

    Article  Google Scholar 

  21. Maheswar, R., Jayarajan, P., Sampathkumar, A., et al. (2021). CBPR: A cluster-based backpressure routing for the Internet of Things. Wireless Personal Communications. https://doi.org/10.1007/s11277-021-08173-0

    Article  Google Scholar 

  22. Marietta, J., & Chandra Mohan, B. (2020). A review on routing in Internet of Things. Wireless Personal Communications, 111, 209–233. https://doi.org/10.1007/s11277-019-06853-6

    Article  Google Scholar 

  23. Fradj, H. B., Anane, R., & Bouallegue, R. (2019). Opportunistic routing protocols in wireless sensor networks. Wireless Personal Communications, 104, 921–933.

    Article  Google Scholar 

  24. Hasson, S. T., & Abd Al-kadhum, H. (2017). Developed clustering approaches to enhance the data transmissions in WSNs. In International conference on current research in computer science and information technology (ICCIT) (pp. 99–106).

  25. Vijayashree, R., & C. Suresh Ghana Dhas, . (2019). Energy efficient data collection with multiple mobile sink using artificial bee colony algorithm in large-scale WSN. Automatika, 60, 555–563.

    Article  Google Scholar 

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Funding

This research received no external funding.

Author information

Authors and Affiliations

  1. Department of CSE, Kongu Engineering College, Perundurai, Erode, India

    Vani Rajasekar

  2. Department of IT, Kongu Engineering College, Perundurai, Erode, India

    Premalatha Jayapaul

  3. Department of CT/UG, Kongu Engineering College, Perundurai, Erode, India

    Sathya Krishnamoorthi

  4. Department of Computer Sciences, University of Novi Pazar, Novi Pazar, Serbia

    Muzafer Saracevic

  5. College of Computer Information Technology, American University in the Emirates, Dubai, United Arab Emirates

    Mohamed Elhoseny & Marwan Al-Akaidi

  6. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

Authors
  1. Vani Rajasekar
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  2. Premalatha Jayapaul
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  3. Sathya Krishnamoorthi
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  4. Muzafer Saracevic
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  5. Mohamed Elhoseny
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  6. Marwan Al-Akaidi
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Contributions

Methodology: VR, PJ, SK; Resources, Investigation: MS; Conceptualization: ME, MA-A.

Corresponding author

Correspondence to Muzafer Saracevic.

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Rajasekar, V., Jayapaul, P., Krishnamoorthi, S. et al. Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data. Wireless Pers Commun 126, 2081–2100 (2022). https://doi.org/10.1007/s11277-021-08760-1

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  • DOI: https://doi.org/10.1007/s11277-021-08760-1

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