Some Improvements in VCP for Data Traffic Reduction in WSN

2018 ◽  
pp. 711-722
Author(s):  
Ezmerina Kotobelli ◽  
Mario Banushi ◽  
Igli Tafaj ◽  
Alban Allkoçi
Keyword(s):  
Data Traffic ◽  
Traffic Reduction

scholarly journals A Reconfigurable IoT Architecture with Energy Efficient Event-Based Data Traffic Reduction Scheme

2017 ◽  
Vol 13 (02) ◽  
pp. 34 ◽  
Author(s):  
Varun Tiwari ◽  
Avinash Keskar ◽  
NC Shivaprakash
Keyword(s):  
Network Traffic ◽  
Energy Efficient ◽  
Data Transfer ◽  
Large Network ◽  
Data Traffic ◽  
Transfer Scheme ◽  
Data Packets ◽  
Traffic Reduction ◽  
Low Probability ◽  
Event Based

Designing an Internet of Things (IoT) enabled environment requires integration of various things/devices. Integrating these devices require a generalized approach as these devices can have different communication protocols. In this paper, we have proposed generalized nodes for connecting various devices. These nodes are capable of creating a scalable local wireless network that connects to the cloud through a network gateway. The nodes also support over the air programming to re-configure the network from the cloud. As number of devices connected to the cloud increases, the network traffic also increases. In order to reduce the network traffic we have used different data transfer schemes for the network. We have also proposed an event-based data transfer scheme for situations where there is low probability of change in sensor value. The experimental results shows that the event-based scheme reduces the data traffic by up to 48% under practical conditions without any loss of information compared to priority based data transfer. We have also shown that the proposed scheme is more reliable for data transfer in a large network with a success rate of 99.5% measured over 200 minutes for 1201 data packets.

scholarly journals Data Traffic Reduction with Compressed Sensing in an AIoT System

2022 ◽  
Vol 70 (1) ◽  
pp. 1769-1780
Author(s):  
Hye-Min Kwon ◽  
Seng-Phil Hong ◽  
Mingoo Kang ◽  
Jeongwook Seo
Keyword(s):  
Compressed Sensing ◽  
Data Traffic ◽  
Traffic Reduction

5G Mobile Communication, Challenges: A Survey

2020 ◽  
Vol 2 (1) ◽  
pp. 35-42
Author(s):  
Hemalatha R ◽  
Rhesa M.J. ◽  
Revathi S
Keyword(s):  
Mobile Communication ◽  
Traffic Management ◽  
Radiation Effects ◽  
Critical Infrastructure ◽  
Security Threats ◽  
Technological Advancement ◽  
Data Traffic ◽  
Communication Challenges ◽  
5G Mobile Communication ◽  
Living Organisms

The hest for technological advancement in mobile communication is due to augmentation of wireless user. The deployment of 5G mobile communication is less than 4G mobile communication due to challenges in security like cyberwarfare, espionage, critical infrastructure threats. Nevertheless, critic of neurological discomforts, tissue damage in living organisms occur in the existence of EMF radiation. Also, physical scarcity for spectral efficiency arises due to ubiquitous data traffic. Inspite of these disputes data rate, low latency, device to device communication is also a challenge. In this paper we provide a survey on radiation effects, security threats, traffic management.

Performance Comparison of Web Backend And Database: A Case Study Of Node.JS, Golang and MySQL, MongoDB

2019 ◽  
Vol 13 ◽  
Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono
Keyword(s):  
Response Time ◽  
Open Source ◽  
Poisson Distribution ◽  
Mobile Application ◽  
Web Applications ◽  
Performance Comparison ◽  
Memory Usage ◽  
Data Traffic ◽  
Cpu Utilization

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.

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