SciELO - Scientific Electronic Library Online

 
 issue93Towards the design and implementation of a Smart City in Bogotá, ColombiaA bi-objective integer programming model for locating garbage accumulation points: a case study author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230On-line version ISSN 2357-53280

Abstract

DIAZ, Sergio  and  MENDEZ, Diego. Dynamic minimum spanning tree construction and maintenance for Wireless Sensor Networks. Rev.fac.ing.univ. Antioquia [online]. 2019, n.93, pp.57-69. ISSN 0120-6230.  https://doi.org/10.17533/10.17533/udea.redin.20190508.

In a Wireless Sensor Network (WSN), finding the optimal route from each node to the sink is not a straightforward task because of the distributed and dynamic characteristics of the network. For instance, the network suffers frequent changes because the channel quality varies over time and the nodes can leave or join the network at any moment. In order to deal with this variability, we propose the Dynamic Gallager-Humblet-Spira (DGHS) algorithm that builds and maintains a minimum spanning tree for distributed and dynamic networks, and we have found that DGHS reduces the number of control messages and the energy consumption, at the cost of a slight increase in the memory size and convergence time. This paper presents a detailed description of the different stages of the DGHS algorithm (neighbor discovery, tree construction and data collection), an in-depth analysis of extensive results that validates our proposal, and an exhaustive description of the GHS limitations.

Keywords : Self-organization; topology control; self-healing.

        · abstract in Spanish     · text in English     · English ( pdf )