Game theory for energy efficiency in wireless sensor networks: latest trends

In the area of Wireless Sensor Networks (WSNs), improving energy efficiency and network lifetime is one of the most important and challenging issues. Most of the considered WSNs are formed by nodes with limited resources, in which each node plays dual rule of both sensing the environment and relayin...

ver descrição completa

Detalhes bibliográficos
Autores: AlSkaif, Tarek, Guerrero Zapata, Manel, Bellalta, Boris
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2015
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositório:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/44222
Acesso em linha:http://hdl.handle.net/10230/44222
http://dx.doi.org/10.1016/j.jnca.2015.03.011
Access Level:Acceso aberto
Palavra-chave:Wireless sensor networks
Game theory
Energy efficiency
Network lifetime
id ES_0e982cf1d7da6b00fa055f9e603c6efa
oai_identifier_str oai:recercat.cat:10230/44222
network_acronym_str ES
network_name_str España
repository_id_str
spelling Game theory for energy efficiency in wireless sensor networks: latest trendsAlSkaif, TarekGuerrero Zapata, ManelBellalta, BorisWireless sensor networksGame theoryEnergy efficiencyNetwork lifetimeIn the area of Wireless Sensor Networks (WSNs), improving energy efficiency and network lifetime is one of the most important and challenging issues. Most of the considered WSNs are formed by nodes with limited resources, in which each node plays dual rule of both sensing the environment and relaying traffic to the sink from other nodes. On the one hand, the nodes need to stay alive as long as possible by achieving energy efficiency. On the other hand, they have to provide the required service. This conflict of interest makes game theory very useful in WSNs. Moreover, nodes usually have to make decisions with limited information about the state of the network. Game theory has been used recently in a remarkable amount of research in this area. In this survey, we review the most recent papers about using game theory in WSNs to achieve a trade-off between maximizing the network lifetime and providing the required service. The paper contains a complete taxonomy of games applied to this specific research problem. It summarizes and compares the different published proposals along with tables and statistical charts showing in which domains game theory has been applied recently. Overall, the paper will give to researchers a clear view of the newest trends in this research area, underlining its main challenges and hopefully fostering discussions and new research directions.Elsevier202020202015info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/44222http://dx.doi.org/10.1016/j.jnca.2015.03.011reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésJournal of network and computer applications. 2015 Aug;54:33-61© Elsevier http://dx.doi.org/10.1016/j.jnca.2015.03.011info:eu-repo/semantics/openAccessoai:recercat.cat:10230/442222026-05-29T05:05:01Z
dc.title.none.fl_str_mv Game theory for energy efficiency in wireless sensor networks: latest trends
title Game theory for energy efficiency in wireless sensor networks: latest trends
spellingShingle Game theory for energy efficiency in wireless sensor networks: latest trends
AlSkaif, Tarek
Wireless sensor networks
Game theory
Energy efficiency
Network lifetime
title_short Game theory for energy efficiency in wireless sensor networks: latest trends
title_full Game theory for energy efficiency in wireless sensor networks: latest trends
title_fullStr Game theory for energy efficiency in wireless sensor networks: latest trends
title_full_unstemmed Game theory for energy efficiency in wireless sensor networks: latest trends
title_sort Game theory for energy efficiency in wireless sensor networks: latest trends
dc.creator.none.fl_str_mv AlSkaif, Tarek
Guerrero Zapata, Manel
Bellalta, Boris
author AlSkaif, Tarek
author_facet AlSkaif, Tarek
Guerrero Zapata, Manel
Bellalta, Boris
author_role author
author2 Guerrero Zapata, Manel
Bellalta, Boris
author2_role author
author
dc.subject.none.fl_str_mv Wireless sensor networks
Game theory
Energy efficiency
Network lifetime
topic Wireless sensor networks
Game theory
Energy efficiency
Network lifetime
description In the area of Wireless Sensor Networks (WSNs), improving energy efficiency and network lifetime is one of the most important and challenging issues. Most of the considered WSNs are formed by nodes with limited resources, in which each node plays dual rule of both sensing the environment and relaying traffic to the sink from other nodes. On the one hand, the nodes need to stay alive as long as possible by achieving energy efficiency. On the other hand, they have to provide the required service. This conflict of interest makes game theory very useful in WSNs. Moreover, nodes usually have to make decisions with limited information about the state of the network. Game theory has been used recently in a remarkable amount of research in this area. In this survey, we review the most recent papers about using game theory in WSNs to achieve a trade-off between maximizing the network lifetime and providing the required service. The paper contains a complete taxonomy of games applied to this specific research problem. It summarizes and compares the different published proposals along with tables and statistical charts showing in which domains game theory has been applied recently. Overall, the paper will give to researchers a clear view of the newest trends in this research area, underlining its main challenges and hopefully fostering discussions and new research directions.
publishDate 2015
dc.date.none.fl_str_mv 2015
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/44222
http://dx.doi.org/10.1016/j.jnca.2015.03.011
url http://hdl.handle.net/10230/44222
http://dx.doi.org/10.1016/j.jnca.2015.03.011
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of network and computer applications. 2015 Aug;54:33-61
dc.rights.none.fl_str_mv © Elsevier http://dx.doi.org/10.1016/j.jnca.2015.03.011
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Elsevier http://dx.doi.org/10.1016/j.jnca.2015.03.011
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869403406402060288
score 15.812455

Registros relacionados