A Novel SDWSN-Based Testbed for IoT Smart Applications

Duaa Zuhair Al-Hamid, Pejman A. Karegar and Peter Han Joo Chong ()
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Duaa Zuhair Al-Hamid: Department of Electrical and Electronic Engineering, Auckland University of Technology (AUT), Auckland 1010, New Zealand
Pejman A. Karegar: Department of Electrical and Electronic Engineering, Auckland University of Technology (AUT), Auckland 1010, New Zealand
Peter Han Joo Chong: Department of Electrical and Electronic Engineering, Auckland University of Technology (AUT), Auckland 1010, New Zealand

Future Internet, 2023, vol. 15, issue 9, 1-24

Abstract: Wireless sensor network (WSN) environment monitoring and smart city applications present challenges for maintaining network connectivity when, for example, dynamic events occur. Such applications can benefit from recent technologies such as software-defined networks (SDNs) and network virtualization to support network flexibility and offer validation for a physical network. This paper aims to present a testbed-based, software-defined wireless sensor network (SDWSN) for IoT applications with a focus on promoting the approach of virtual network testing and analysis prior to physical network implementation to monitor and repair any network failures. Herein, physical network implementation employing hardware boards such as Texas Instruments CC2538 (TI CC2538) and TI CC1352R sensor nodes is presented and designed based on virtual WSN- based clustering for stationary and dynamic networks use cases. The key performance indicators such as evaluating node (such as a gateway node to the Internet) connection capability based on packet drop and energy consumption virtually and physically are discussed. According to the test findings, the proposed software-defined physical network benefited from “prior-to-implementation” analysis via virtualization, as the performance of both virtual and physical networks is comparable.

Keywords: wireless sensor networks; software-defined wireless sensor network; Internet of Things; testbed; Texas Instruments (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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