New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/s19112489 http://hdl.handle.net/11449/184535 |
Resumo: | In this work, two new self-tuning collaborative-based mechanisms for jamming detection are proposed. These techniques are named (i) Connected Mechanism and (ii) Extended Mechanism. The first one detects jamming by comparing the performance parameters with respect to directly connected neighbors by interchanging packets with performance metric information, whereas the latter, jamming detection relays comparing defined zones of nodes related with a collector node, and using information of this collector detects a possible affected zone. The effectiveness of these techniques were tested in simulated environment of a quadrangular grid of 7 x 7, each node delivering 10 packets/sec, and defining as collector node, the one in the lower left corner of the grid. The jammer node is sending packets under reactive jamming. The mechanism was implemented and tested in AODV (Ad hoc On Demand Distance Vector), DSR (Dynamic Source Routing), and MPH (Multi-Parent Hierarchical), named AODV-M, DSR-M and MPH-M, respectively. Results reveal that the proposed techniques increase the accurate of the detected zone, reducing the detection of the affected zone up to 15% for AODV-M and DSR-M and up to 4% using the MPH-M protocol. |
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New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacksdetection and mitigation jammingperformance metricswireless sensor networksIn this work, two new self-tuning collaborative-based mechanisms for jamming detection are proposed. These techniques are named (i) Connected Mechanism and (ii) Extended Mechanism. The first one detects jamming by comparing the performance parameters with respect to directly connected neighbors by interchanging packets with performance metric information, whereas the latter, jamming detection relays comparing defined zones of nodes related with a collector node, and using information of this collector detects a possible affected zone. The effectiveness of these techniques were tested in simulated environment of a quadrangular grid of 7 x 7, each node delivering 10 packets/sec, and defining as collector node, the one in the lower left corner of the grid. The jammer node is sending packets under reactive jamming. The mechanism was implemented and tested in AODV (Ad hoc On Demand Distance Vector), DSR (Dynamic Source Routing), and MPH (Multi-Parent Hierarchical), named AODV-M, DSR-M and MPH-M, respectively. Results reveal that the proposed techniques increase the accurate of the detected zone, reducing the detection of the affected zone up to 15% for AODV-M and DSR-M and up to 4% using the MPH-M protocol.Asociacion Mexicana de Cultura A.C.Univ Panamer, Fac Ingn, Alvaro Portillo 49, Zapopan 45010, Jalisco, MexicoITAM, Rio Hondo 1, Mexico City 01080, DF, MexicoSao Paulo State Univ, Campus Sao Joao Boa Vista,505 Jardim Flores, Sao Paulo, SP, BrazilPolytech Porto IPP, Res Grp Intelligent Engn & Comp Adv Innovat & Dev, P-4000045 Porto, PortugalTecnol Monterrey, Sch Engn & Sci, Comp Dept, Campus Puebla,Via Atlixcayotl 5718, Reserva Terr Atlixcayotl 72453, Puebla Pue, MexicoTecnol Monterrey, Escuela Ingn & Ciencias, Carr Lago Guadalupe Km 3-5, Atizapan 54766, Edomex, MexicoSao Paulo State Univ, Campus Sao Joao Boa Vista,505 Jardim Flores, Sao Paulo, SP, BrazilMdpiUniv PanamerITAMUniversidade Estadual Paulista (Unesp)Polytech Porto IPPTecnol MonterreyDel-Valle-Soto, CarolinaMex-Perera, CarlosAldaya, Ivan [UNESP]Lezama, FernandoArturo Nolazco-Flores, JuanMonroy, Raul2019-10-04T12:14:29Z2019-10-04T12:14:29Z2019-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article23http://dx.doi.org/10.3390/s19112489Sensors. Basel: Mdpi, v. 19, n. 11, 23 p., 2019.1424-8220http://hdl.handle.net/11449/18453510.3390/s19112489WOS:000472133300067Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSensorsinfo:eu-repo/semantics/openAccess2021-10-23T19:28:29Zoai:repositorio.unesp.br:11449/184535Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:03:33.979663Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks |
title |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks |
spellingShingle |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks Del-Valle-Soto, Carolina detection and mitigation jamming performance metrics wireless sensor networks |
title_short |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks |
title_full |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks |
title_fullStr |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks |
title_full_unstemmed |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks |
title_sort |
New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks |
author |
Del-Valle-Soto, Carolina |
author_facet |
Del-Valle-Soto, Carolina Mex-Perera, Carlos Aldaya, Ivan [UNESP] Lezama, Fernando Arturo Nolazco-Flores, Juan Monroy, Raul |
author_role |
author |
author2 |
Mex-Perera, Carlos Aldaya, Ivan [UNESP] Lezama, Fernando Arturo Nolazco-Flores, Juan Monroy, Raul |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Univ Panamer ITAM Universidade Estadual Paulista (Unesp) Polytech Porto IPP Tecnol Monterrey |
dc.contributor.author.fl_str_mv |
Del-Valle-Soto, Carolina Mex-Perera, Carlos Aldaya, Ivan [UNESP] Lezama, Fernando Arturo Nolazco-Flores, Juan Monroy, Raul |
dc.subject.por.fl_str_mv |
detection and mitigation jamming performance metrics wireless sensor networks |
topic |
detection and mitigation jamming performance metrics wireless sensor networks |
description |
In this work, two new self-tuning collaborative-based mechanisms for jamming detection are proposed. These techniques are named (i) Connected Mechanism and (ii) Extended Mechanism. The first one detects jamming by comparing the performance parameters with respect to directly connected neighbors by interchanging packets with performance metric information, whereas the latter, jamming detection relays comparing defined zones of nodes related with a collector node, and using information of this collector detects a possible affected zone. The effectiveness of these techniques were tested in simulated environment of a quadrangular grid of 7 x 7, each node delivering 10 packets/sec, and defining as collector node, the one in the lower left corner of the grid. The jammer node is sending packets under reactive jamming. The mechanism was implemented and tested in AODV (Ad hoc On Demand Distance Vector), DSR (Dynamic Source Routing), and MPH (Multi-Parent Hierarchical), named AODV-M, DSR-M and MPH-M, respectively. Results reveal that the proposed techniques increase the accurate of the detected zone, reducing the detection of the affected zone up to 15% for AODV-M and DSR-M and up to 4% using the MPH-M protocol. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-04T12:14:29Z 2019-10-04T12:14:29Z 2019-06-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/s19112489 Sensors. Basel: Mdpi, v. 19, n. 11, 23 p., 2019. 1424-8220 http://hdl.handle.net/11449/184535 10.3390/s19112489 WOS:000472133300067 |
url |
http://dx.doi.org/10.3390/s19112489 http://hdl.handle.net/11449/184535 |
identifier_str_mv |
Sensors. Basel: Mdpi, v. 19, n. 11, 23 p., 2019. 1424-8220 10.3390/s19112489 WOS:000472133300067 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sensors |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
23 |
dc.publisher.none.fl_str_mv |
Mdpi |
publisher.none.fl_str_mv |
Mdpi |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128602431029248 |