Abstract
Background: IoT networks are being used frequently for meeting the requirements of some specifications such as applications related to automobiles, aerospace, etc. The performance is always an issue as many intricacies exist built into the developed IoT networks such as handling heterogeneity, failures of communication paths, lack of bandwidth, non-availability of alternate paths for communication, etc. Many layers exist in an IoT network. Each layer built using specific technology and is faced with many performance bottlenecks addressed. The performance of the entire network is affected when there are many performance issues in any layer. The performance of an IoT network must be analyzed considering all the layers and the issues related to those layers.
Objective: The main objective of this paper is to present the way the performance of an IoT network improved by using a specific networking topology used at the gateway level of the IoT network.
Methods: Receiving data in multiple low-speed channels using different communication systems, stacking the same and transmitting results using the splitters using dual high-speed channels to improve the time required for transmission and also to reduce the latency at the gateway level.
Results: The splitter method introduced at the gateway level improved the performance of the IoT network from 1519 Microseconds to 1029 Microseconds for transmitting 100 data packets either way. Throughput as such improved from 0.31 packets / Microsecond to 0.19 packets / Microsecond.
Conclusion: The performance of IoT networks suffers due to various reasons. The performance of an IoT network gets improved at gateway by using splitters that merge and bifurcate the communication traffic.
Keywords: IoT networks, performance optimization, gateway, latency, topology, servers.
Graphical Abstract
Related Journals
International Journal of Sensors, Wireless Communications and Control
Related Books
Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Recent Advances in IoT and Blockchain Technology
Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II
Machine Learning and Its Application: A Quick Guide for Beginners
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
How to Design Optimization Algorithms by Applying Natural Behavioral Patterns
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I)
8