QoS in heterogeneous networks based on DWDM technology

Sanmartin, Paul; Cardona, Jairo; Molinares, Daladier Jabba

doi:10.1109/chilecon.2015.7400399

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Segmentation slows down the data transfer rate and lowers the network's quality of service. As a result, packets that are too big cause delays in the network, while those that are too little cause more errors and take longer to send [8]. This research simulates an Ethernet network with bigger packets and analyzes the impact on quality of service and network performance.…”

Section: Switched Ethernet Technologymentioning

confidence: 99%

QoS management for performance analysis of switched Ethernet networks

Manivannan¹

2023

jcr

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This research provides a simulation scenario for testing the efficacy of switched Ethernet as a controller network's communication medium. Ethernet has become the standard LAN technology due to its cheap cost and ease of implementation. When developing software, using Ethernet rather of a specialized industrial protocol for communication might save time and effort. Some of the most significant issues with utilizing Ethernet in controller networks have been eradicated with the advent of Fast Ethernet and micro-segmentation. This opens the door for interoperability between controller networks and larger corporate and international infrastructures. Queue management as a subject reveals several openings for satisfying needs for various service varieties. Simulation analysis using the NS2 network simulator is used for the assessment. The findings are put to use in analyzing and enhancing the communication performance of the multi-tier paradigm utilized in distributed automation. In the multi-tier concept, several suggested classes are utilized to prioritize various types of CNDEP traffic.

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Section: Switched Ethernet Technologymentioning

confidence: 99%

QoS management for performance analysis of switched Ethernet networks

Manivannan¹

2023

jcr

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“…Traditionally, only one metric is used to select the route. However, this metric cannot satisfy the Quality of Service (QoS) requirements [ 18 , 19 ] of different applications. Therefore, some proposals [ 12 , 16 , 20 ] present methods that combine metric types to satisfy the needs of the applications.…”

Section: Related Workmentioning

confidence: 99%

Sigma Routing Metric for RPL Protocol

Sanmartin

Rojas

Fernández

et al. 2018

Sensors

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This paper presents the adaptation of a specific metric for the RPL protocol in the objective function MRHOF. Among the functions standardized by IETF, we find OF0, which is based on the minimum hop count, as well as MRHOF, which is based on the Expected Transmission Count (ETX). However, when the network becomes denser or the number of nodes increases, both OF0 and MRHOF introduce long hops, which can generate a bottleneck that restricts the network. The adaptation is proposed to optimize both OFs through a new routing metric. To solve the above problem, the metrics of the minimum number of hops and the ETX are combined by designing a new routing metric called SIGMA-ETX, in which the best route is calculated using the standard deviation of ETX values between each node, as opposed to working with the ETX average along the route. This method ensures a better routing performance in dense sensor networks. The simulations are done through the Cooja simulator, based on the Contiki operating system. The simulations showed that the proposed optimization outperforms at a high margin in both OF0 and MRHOF, in terms of network latency, packet delivery ratio, lifetime, and power consumption.

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