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Queue size estimation of nodes in a heterogeneous ocean network with multiple priority traffic

Publication Type : Journal Article

Publisher : International Journal of Vehicle Information and Communication Systems, Inderscience Publishers (IEL)

Source : International Journal of Vehicle Information and Communication Systems, Inderscience Publishers (IEL), Volume 5, Issue 1, p.26–40 (2020)

Url : https://www.inderscienceonline.com/doi/abs/10.1504/IJVICS.2020.107180

Keywords : data dissemination, message prioritisation, quasi-birth-death process, queuing model, Wireless network

Campus : Amritapuri

School : Department of Computer Science and Engineering, School of Arts and Sciences, School of Engineering

Center : AI (Artificial Intelligence) and Distributed Systems

Department : Computer Science, Mathematics

Year : 2020

Abstract : Ocean network is a heterogeneous wireless network of fishing vessels at sea to provide internet over sea. The types of messages exchanged between fishing vessels include emergency data, normal data, voice and video messages. As the connectivity is intermittent, it is necessary to select the most appropriate message from the transmission queue for forwarding. This paper focuses on designing a queuing model with multiple priorities to estimate the queue size of each type of message in a node. Solving the steady state equations gives the number of emergency packets, data packets, audio packets and video packets waiting in the node to be transmitted. Hence the message dissemination algorithm can select the appropriate queue for transmitting the message to maximise the available resources with fairness.

Cite this Research Publication : Simi Surendran, Dr. Maneesha V. Ramesh, and Dr. Usha Kumari P. V., “Queue size estimation of nodes in a heterogeneous ocean network with multiple priority traffic”, International Journal of Vehicle Information and Communication Systems, vol. 5, no. 1, pp. 26–40, 2020.

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