F. Fernando Jurado-Lasso
Engineer specializing in IoT, Networked Embedded Systems, and Machine Learning for communications and networking
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  • IEEE Systems Journal
  • Volume 14
  • Pages 4653-4662
  • January 2019
Performance analysis of software-defined multihop wireless sensor networks
Authors
Affiliation

F. F. Jurado-Lasso

The University of Melbourne

K. Clarke

The University of Melbourne

A. Nirmalathas

The University of Melbourne

Published

January 2019

Abstract
In this article, we propose a model-based characterization of energy consumption in a software-defined wireless sensor network (SD-WSN) architecture in an effort to examine the implications for network performance when making the WSN reprogrammable. The proposed model consists of breaking down all key functions involved in the correct functioning of an SD-WSN, namely; neighbor discovery, neighbor advertisement, network configuration, and data collection. The model is analyzed from a multihop network perspective. We consider two static SD-WSN scenarios to examine scalability, and one scenario to assess the performance implications in a pseudo-dynamic SD-WSN. Extensive simulation results are presented regarding the control overhead introduced, the percentage of alive nodes and remaining energy, and the impacts on network lifetime. We show that the accumulated control overhead is inversely …
BibTeX citation 
                        @article{JuradoNirmalathas2019,
 author = {Jurado Lasso, Fabian Fernando and Clarke, Ken and
 Nirmalathas, Ampalavanapillai},
 title = {Performance Analysis of Software-Defined Multihop Wireless
 Sensor Networks},
 journal = {IEEE Systems Journal},
 volume = {14},
 number = {4},
 pages = {4653-4662},
 date = {2019-01},
 doi = {10.1109/JSYST.2019.2948203}
}
Copyright

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