Improving lifetime of wireless sensor networks based on nodes’ distribution using Gaussian mixture model in multi-mobile sink approach

Houriya Hojjatinia (), Mohsen Jahanshahi () and Saeedreza Shehnepoor ()
Additional contact information
Houriya Hojjatinia: Islamic Azad University
Mohsen Jahanshahi: Central Tehran Branch, Islamic Azad University
Saeedreza Shehnepoor: University of Western Australia

Telecommunication Systems: Modelling, Analysis, Design and Management, 2021, vol. 77, issue 1, No 15, 255-268

Abstract: Abstract Saving energy in Wireless Sensor Networks (WSNs), is critical in different applications, such as environment monitoring, keeping human awareness and etc. Many studies have investigated energy consumption and improved the WSN lifetime longevity by reducing the energy consumption. Still, proposed approaches overlook the nodes’ distribution role in energy model and routing protocol, which is a key factor in a WSN. In this work, we propose a novel approach; namely GDECA; which assumes nodes’ distributions are mixtures of Gaussian distribution, as an assumption applied in real world. So GDECA rely on a distribution estimation borrowed from Machine Learning (ML) to fit the Gaussian Mixture Model (GMM) to the nodes and calculate the parameters for these distributions. Next, the estimated parameters are employed in Cluster Head CH selection policy. Besides, sinks routing is determined based on nodes distribution. Results showed the improvement close to 40–50% in energy consumption. As another outcome, GDECA keeps all the nodes active until end of the simulation. Observations also demonstrate that sinks path calculation using this approach is optimum, and randomly changing number of sinks increases energy consumption.

Keywords: Wireless sensor network; Gaussian mixture model; Cluster head selection; Energy model; Energy consumption (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-021-00753-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:77:y:2021:i:1:d:10.1007_s11235-021-00753-6

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-021-00753-6

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().