Multi-Controller Model for Improving the Performance of IoT Networks

Ganesh Davanam, Suresh Kallam, Ninni Singh, Vinit Kumar Gunjan, Sudipta Roy, Javad Rahebi, Ali Farzamnia () and Ismail Saad
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Ganesh Davanam: Department of CSE, Sree Vidyanikethan Engineering College (Autonomous), Tirupati 517102, Andhra Pradesh, India
Suresh Kallam: Department of CSE, Sree Vidyanikethan Engineering College (Autonomous), Tirupati 517102, Andhra Pradesh, India
Ninni Singh: Department of Computer Science & Engineering, CMR Institute of Technology, Hyderabad 501401, Telengana, India
Vinit Kumar Gunjan: Department of Computer Science & Engineering, CMR Institute of Technology, Hyderabad 501401, Telengana, India
Sudipta Roy: Department of Artificial Intelligence & Data Science, Jio Institute, Navi Mumbai 410206, Maharastra, India
Javad Rahebi: Software Engineering Department, Istanbul Topkapi University, 34087 Istanbul, Turkey
Ali Farzamnia: Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
Ismail Saad: Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia

Energies, 2022, vol. 15, issue 22, 1-15

Abstract: Internet of Things (IoT), a strong integration of radio frequency identifier (RFID), wireless devices, and sensors, has provided a difficult yet strong chance to shape existing systems into intelligent ones. Many new applications have been created in the last few years. As many as a million objects are anticipated to be linked together to form a network that can infer meaningful conclusions based on raw data. This means any IoT system is heterogeneous when it comes to the types of devices that are used in the system and how they communicate with each other. In most cases, an IoT network can be described as a layered network, with multiple tiers stacked on top of each other. IoT network performance improvement typically focuses on a single layer. As a result, effectiveness in one layer may rise while that of another may fall. Ultimately, the achievement issue must be addressed by considering improvements in all layers of an IoT network, or at the very least, by considering contiguous hierarchical levels. Using a parallel and clustered architecture in the device layer, this paper examines how to improve the performance of an IoT network’s controller layer. A particular clustered architecture at the device level has been shown to increase the performance of an IoT network by 16% percent. Using a clustered architecture at the device layer in conjunction with a parallel architecture at the controller layer boosts performance by 24% overall.

Keywords: internet of things; radio-frequency identification; device level clustering; layered networking; parallel architectures; performance optimization; topology binding (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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