Skip to main content

A Steady-State Analysis of a Forked Communication Network Model

  • Conference paper
  • First Online:
Smart Technologies in Data Science and Communication

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 210))

  • 353 Accesses

Abstract

Communication between the people around the world is increasing a lot. As a result, several types of network models are being designed to meet the requirements of the users for data transmission with respect to both voice and video communication. There is always a scope for the development of new network models for better and faster communication. As a result, the number of researchers is getting interested toward the utilization of these sensor networks and also working with the wireless sensor devices. In the current article, an attempt has been made to develop a forked communication network model with queuing model-based equations are developed for better understanding of the model to implement and verify its performance at various situations. The results are calculated by the help of MATLAB and MathCAD software. The results can be observed in detail in the results section for a better understanding of the working of the network model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. K. Srinivasa Rao et al., Stochastic control and analysis of two-node tandem communication network model with DBA and binomial bulk arrivals with phase type transmission. Int. J. Comput. Appl. 87(10), 33–47 (2014)

    Google Scholar 

  2. N. Thirupathi Rao et al., Transient analysis of a two node tandem communication network with two stage compound poisson binomial bulk arrivals and DBA. Int. J. Comput. Appl. 96(25), 19–31 (2014)

    Google Scholar 

  3. K. Srinivasa Rao, P.S. Varma, P.V.G.D.P. Reddy, A communication network with random phases of transmission. Indian J. Math. Math. Sci. 3(1), 39–46 (2014)

    Google Scholar 

  4. K.K. Leung, Load dependent service queues with application to congestion control in broadband networks. Perform. Evaluat. 50(1–4), 27–40 (2007)

    Google Scholar 

  5. N. Thirupathi Rao, D. Bhattacharyya, S. Naga Mallik Raj, Queuing model based data centers: a review. Int. J. Adv. Sci. Technol. 123, 11–20 (2019)

    Google Scholar 

  6. K. Srinivasa Rao, M. GovindaRao, P. Chandra Sekhar, Studies on interdependent Tandem Queuing models with modified phase type service and state dependent service rates. Int. J. Comput. Appl. 3(4), 319–330 (2016)

    Google Scholar 

  7. L. Kleinrock, R.R. Muntz, E. Rodemich, The processor-sharing queuing model for time-shared systems with bulk arrivals. Int. J. Netw. 1(1), 13–18 (2006)

    Google Scholar 

  8. J. Durga Aparajitha and K. Srinivasa Rao: Two Node Tandem Queuing Model with Direct Arrivals to Both the Service Stations Having State and Time Dependent Phase Type Service. Global Journal of Pure and Applied Mathematics, 13(11), 7999–8023 (2017).

    Google Scholar 

  9. D. Bhattacharyya, N. Thirupathi Rao, P. Srinivas, J. Levy, Analysis of queuing applications performance using MatLab. Int. J. Adv. Sci. Technol. 27, 1–12 (2019)

    Google Scholar 

  10. D.-U. Kim, M.-S. Jie, W.-H. Choi, Airport simulation based on queuing model using ARENA. Int. J. Adv. Sci. Technol. 115, 125–134 (2018)

    Article  Google Scholar 

  11. N. Miglani, G. Sharma, An adaptive load balancing algorithm using categorization of tasks on virtual machine based upon queuing policy in cloud environment. Int. J. Grid Distrib. Comput. 11(11), 1–12 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Meeravali, S., Thirupathi Rao, N., Bhattacharyya, D., Kim, Th. (2021). A Steady-State Analysis of a Forked Communication Network Model. In: Saha, S.K., Pang, P.S., Bhattacharyya, D. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 210. Springer, Singapore. https://doi.org/10.1007/978-981-16-1773-7_23

Download citation

Publish with us

Policies and ethics