Measuring End-to-End Delay in Low Energy SDN IoT Platform

被引：7

作者：

Beshley, Mykola ^{[1
]}

Kryvinska, Natalia ^{[2
]}

Beshley, Halyna ^{[1
]}

Kochan, Orest ^{[1
]}

Barolli, Leonard ^{[3
]}

机构：

[1] Lviv Polytech Natl Univ, Dept Telecommun, UA-79013 Lvov, Ukraine

[2] Comenius Univ, Fac Management, Dept Informat Syst, Bratislava 82005, Slovakia

[3] Fukuoka Inst Technol FIT, Fac Informat Engn, Dept Informat & Commun Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka 8110295, Japan

来源：

CMC-COMPUTERS MATERIALS & CONTINUA | 2022年 / 70卷 / 01期

关键词：

Internet of things; software defined networking; openflow; open vswitch; raspberry-pi; OPTIMIZATION; ARCHITECTURE; ALLOCATION; EFFICIENCY; ALGORITHM; NETWORKS; INTERNET;

D O I：

10.32604/cmc.2022.018579

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we developed a new customizable low energy Software Defined Networking (SDN) based Internet of Things (IoT) platform that can be reconfigured according to the requirements of the target IoT applications. Technically, the platform consists of a set of low cost and energy efficient single-board computers, which are interconnected within a network with the software defined configuration. The proposed SDN switch is deployed on Raspberry Pi 3 board using Open vSwitch (OvS) software, while the Floodlight controller is deployed on the Orange Pi Prime board. We firstly presented and implemented the method for measuring a delay introduced by each component of the IoT infrastructure, ranging from the sensor, the core of SDN, the IoT broker, to an IoT subscriber. Thus, we presented the approach for estimating energy efficiency for SDN based IoT platform proportional to the traffic. The experiments carried out on a real SDN topology based on single-board computers show that our approach not only saves up to 53.56% of energy at low traffic intensity, but also provides QoS guarantee for IoT applications.

引用

页码：19 / 41

页数：23

共 38 条

[1] [Anonymous], 2018, NEXTGENERATION NETWO, DOI DOI 10.1007/978-981-10-6005-2_16
[2] Anwaar Waqas, 2015, International Journal of Computer and Information Technology, V4, P410
[3] RESDN: A Novel Metric and Method for Energy Efficient Routing in Software Defined Networks
Assefa, Beakal Gizachew
Ozkasap, Oznur
[J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2020, 17 (02): : 736 - 749
[4] Beshley H, 2018, PROCEEDINGS OF THE 2018 IEEE 4TH INTERNATIONAL SYMPOSIUM ON WIRELESS SYSTEMS WITHIN THE INTERNATIONAL CONFERENCES ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS (IDAACS-SWS), P229, DOI 10.1109/IDAACS-SWS.2018.8525680
[5] End-to-End QoS "Smart Queue" Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks
Beshley, Mykola
Kryvinska, Natalia
Seliuchenko, Marian
Beshley, Halyna
Shakshuki, Elhadi M.
Yasar, Ansar-Ul-Haque
[J]. SENSORS, 2020, 20 (08)
[6] Beshley M, 2018, 2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET), P282, DOI 10.1109/TCSET.2018.8336203
[7] Beshley M, 2015, PROCEEDINGS OF XIIITH INTERNATIONAL CONFERENCE - EXPERIENCE OF DESIGNING AND APPLICATION OF CAD SYSTEMS IN MICROELECTRONICS CADSM 2015, P1, DOI 10.1109/CADSM.2015.7230779
[8] DROPv2: Energy Efficiency through Network Function Virtualization
Bolla, Raffaele
Lombardo, Chiara
Bruschi, Roberto
Mangialardi, Sergio
[J]. IEEE NETWORK, 2014, 28 (02): : 26 - 32
[9] Towards energy efficiency and green network infrastructure deployment in Nepal using software defined IPv6 network paradigm
Dawadi, Babu R.
Rawat, Danda B.
Joshi, Shashidhar R.
Keitsch, Martina M.
[J]. ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES, 2020, 86 (01):
[10] Single Failure Routing Protection Algorithm in the Hybrid SDN Network
Geng, Haijun
Yao, Jiangyuan
Zhang, Yangyang
[J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 64 (01): : 665 - 679

← 1 2 3 4 →