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

Romero Perales, Elena, Blesa Martínez, Javier, Araujo Pinto, Álvaro ORCID: https://orcid.org/0000-0001-9269-5900 and Nieto-Taladriz García, Octavio ORCID: https://orcid.org/0000-0003-1411-6947 (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:
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

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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

Type
Code
Acronym
Leader
Title
Government of Spain
IPT-2011-1197-370000
Unspecified
Unspecified
Unspecified
Government of Spain
IPT-2011-1241-390000
PRECOIL
Unspecified
Unspecified
Government of Spain
IPT-2011-0782-900000
LINEO
Unspecified
Unspecified

More information

Item ID: 36194
DC Identifier: https://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
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