A software-defined networking framework for IoT based on 6LoWPAN

Submitted by grigby1 on Wed, 01/16/2019 - 1:25pm

Title	A software-defined networking framework for IoT based on 6LoWPAN
Publication Type	Conference Paper
Year of Publication	2018
Authors	Lasso, F. F. J., Clarke, K., Nirmalathas, A.
Conference Name	2018 Wireless Telecommunications Symposium (WTS)
ISBN Number	978-1-5386-3395-3
Keywords	6LoWPAN, 6LoWPAN networks, composability, Internet of Things, IoT, low power wireless network, management complexity, networking framework, personal area networks, power consumption, Power demand, Protocols, pubcrawl, Random access memory, Resiliency, SD-WSN6Lo, software defined networking, software-defined networking, software-defined wireless management, Task Analysis, telecommunication power management, Wireless communication, Wireless Sensor Network, Wireless sensor networks
Abstract	The software defined networking framework facilitates flexible and reliable internet of things networks by moving the network intelligence to a centralized location while enabling low power wireless network in the edge. In this paper, we present SD-WSN6Lo, a novel software-defined wireless management solution for 6LoWPAN networks that aims to reduce the management complexity in WSN's. As an example of the technique, a simulation of controlling the power consumption of sensor nodes is presented. The results demonstrate improved energy consumption of approximately 15% on average per node compared to the baseline condition.
URL	https://ieeexplore.ieee.org/document/8363938
DOI	10.1109/WTS.2018.8363938
Citation Key	lasso_software-defined_2018

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Science of Security VO