Development of methods and algorithms of the organization of data transmission units and computer networks of the enterprises

The paper discusses models and methods for improving the performance of wireless computer networks built based on the decomposition of the lower levels of the OSI reference model. A method to improve the performance of networks is suggested, which functionally combines the physical and network layers, which improves its efficiency in marginal reception areas almost twice. A model of the block diagram of a device for improving data transmission quality in marginal reception areas or those with insufficient noise immunity is developed based on the so-called communication quality status monitoring, as well as a model of the block diagram of a wireless adaptive capacity reallocation router based on dynamic channels capacity reallocation, which allows adequately reallocating IS resources depending on traffic and user priority. Keywords— Bluetooth, FIFO discipline, IEEE 802.11, OSI/ISO reference model, wireless computer networks.

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Re-routing using Contraction Hierarchies in Software-Defined Networks

10.36939/ir.202104011624 ◽

2020 ◽

Author(s):

◽

Sebastian Miranda

Keyword(s):

Mobile Devices ◽

Computer Networks ◽

Data Transmission ◽

Vehicular Networks ◽

Network Architectures ◽

Route Selection ◽

Software Defined Networks ◽

Traffic Forecast ◽

Data Plane ◽

And Control

According to the Open Networking Foundation (ONF), one of the reasons to reexamine traditional network architectures is the increment of mobile devices and its data transmission. The global IP traffic forecast by CISCO estimates an overall traffic increase to 396 exabytes per month in 2022, more than three times the traffic on 2017 (122 exabytes per month). In this work, we research the similarities between vehicular networks and computer networks. These similarities will allow us to implement the Contraction Hierarchies algorithm (CH) in computer networks. CH is an interdisciplinary algorithm from vehicular networks which can provide us with the elements and logic to optimize specific routing problems in computer networks. In order to implement CH, we use Software Defined Networks (SDN). SDN is a computer networks paradigm that separates the Data and Control planes. The Data plane is left to the network devices to distribute the packages, and the control plane is centralized into a Controller. By having a controller with a broad view of the network, we implement CH in order to optimize route selection. Once the route is determined, we study the possibility of using the advantages of CH to redistribute traffic in case the network elements suffer from unforeseen circumstances.

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Data Compression Using Elias Delta Code

10.31227/osf.io/84vnd ◽

2017 ◽

Author(s):

Andysah Putera Utama Siahaan

Keyword(s):

Data Compression ◽

Computer Networks ◽

Data Transmission ◽

Storage Capacity ◽

Lossless Compression ◽

Good Level ◽

Before And After ◽

Speed Up ◽

Capacity Data

Compression is an activity performed to reduce its size into smaller than earlier. Compression is created since lack of adequate storage capacity. Data compression is also needed to speed up data transmission activity between computer networks. Compression has the different rule between speed and density. Compressed compression will take longer than compression that relies on speed. Elias Delta is one of the lossless compression techniques that can compress the characters. This compression is created based on the frequency of the character of a character on a document to be compressed. It works based on bit deductions on seven or eight bits. The most common characters will have the least number of bits, while the fewest characters will have the longest number of bits. The formation of character sets serves to eliminate double characters in the calculation of the number of each character as well as for the compression table storage. It has a good level of comparison between before and after compression. The speed of compression and decompression process possessed by this method is outstanding and fast.

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