Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation

5Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Highlights The following are some of the significant highlights of the article "Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation: The size of packet headers is reduced as a result of the RGN architecture's reduction in the number of stages needed for data transfer. The RGN architecture offers great fault tolerance and reliability, and it can withstand many failures at each level. The simulation trials demonstrate that in terms of reliability, throughput, and latency, the RGN surpasses conventional networks. For instance, the RGN outperforms other networks with a packet delivery ratio of 99.9%. According to the paper, the RGN outperforms other networks with a throughput of 0.8 Gbps and a latency of 0.5 ms. The reliability-cost-ratio (RCR) improvement also ranging from 2-42% for networks of size 16 to 1-87% for networks of size 64. The RGN design is appropriate for big data processing in sensor networks because it can manage enormous volumes of data retrieved from various sensor nodes. The article comes to the conclusion that the RGN architecture has great potential for enhancing sensor network capabilities in a variety of fields, including military, navy, healthcare, agriculture, space, and environmental monitoring. It can also improve the performance of multiprocessing systems used to analyse data obtained from sensor networks.

Cite

CITATION STYLE

APA

Gupta, S. (2023). Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation. ECS Sensors Plus, 2(3). https://doi.org/10.1149/2754-2726/acf328

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free