A game theory based strategy for reducing energy consumption in cognitive WSN

Romero Perales, Elena and Blesa Martínez, Javier and Araujo Pinto, Álvaro and Nieto-Taladriz García, Octavio (2014). A game theory based strategy for reducing energy consumption in cognitive WSN. "International Journal of Distributed Sensor Networks", v. 2014 ; pp. 1-9. ISSN 1550-1329. https://doi.org/10.1155/2014/965495.

Description

Title: A game theory based strategy for reducing energy consumption in cognitive WSN
Author/s:
  • Romero Perales, Elena
  • Blesa Martínez, Javier
  • Araujo Pinto, Álvaro
  • Nieto-Taladriz García, Octavio
Item Type: Article
Título de Revista/Publicación: International Journal of Distributed Sensor Networks
Date: 2014
ISSN: 1550-1329
Volume: 2014
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

Wireless sensor networks (WSNs) are one of the most important users of wireless communication technologies in the coming years and some challenges in this area must be addressed for their complete development. Energy consumption and spectrum availability are two of the most severe constraints of WSNs due to their intrinsic nature. The introduction of cognitive capabilities into these networks has arisen to face the issue of spectrum scarcity but could be used to face energy challenges too due to their new range of communication possibilities. In this paper a new strategy based on game theory for cognitive WSNs is discussed. The presented strategy improves energy consumption by taking advantage of the new change-communication-channel capability. Based on game theory, the strategy decides when to change the transmission channel depending on the behavior of the rest of the network nodes. The strategy presented is lightweight but still has higher energy saving rates as compared to noncognitive networks and even to other strategies based on scheduled spectrum sensing. Simulations are presented for several scenarios that demonstrate energy saving rates of around 65% as compared to WSNs without cognitive techniques.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainIPT-2011-1197-370000UnspecifiedUnspecifiedUnspecified
Government of SpainIPT-2011-1241-390000PRECOILUnspecifiedUnspecified
Government of SpainIPT-2011-0782-900000LINEOUnspecifiedUnspecified

More information

Item ID: 36194
DC Identifier: http://oa.upm.es/36194/
OAI Identifier: oai:oa.upm.es:36194
DOI: 10.1155/2014/965495
Official URL: http://www.hindawi.com/journals/ijdsn/2014/965495/
Deposited by: Memoria Investigacion
Deposited on: 11 Jul 2015 09:34
Last Modified: 11 Jun 2019 08:13
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM