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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
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)
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)
K.K. Leung, Load dependent service queues with application to congestion control in broadband networks. Perform. Evaluat. 50(1–4), 27–40 (2007)
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)
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)
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)
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).
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)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
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
DOI: https://doi.org/10.1007/978-981-16-1773-7_23
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-1772-0
Online ISBN: 978-981-16-1773-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)