New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks

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dc.contributor.authorDel-Valle-Soto, Carolina
dc.contributor.authorMex-Perera, Carlos
dc.contributor.authorAldaya, Ivan [UNESP]
dc.contributor.authorLezama, Fernando
dc.contributor.authorArturo Nolazco-Flores, Juan
dc.contributor.authorMonroy, Raul
dc.contributor.institutionUniv Panamer
dc.contributor.institutionITAM
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionPolytech Porto IPP
dc.contributor.institutionTecnol Monterrey
dc.date.accessioned2019-10-04T12:14:29Z
dc.date.available2019-10-04T12:14:29Z
dc.date.issued2019-06-01
dc.description.abstractIn 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.en
dc.description.affiliationUniv Panamer, Fac Ingn, Alvaro Portillo 49, Zapopan 45010, Jalisco, Mexico
dc.description.affiliationITAM, Rio Hondo 1, Mexico City 01080, DF, Mexico
dc.description.affiliationSao Paulo State Univ, Campus Sao Joao Boa Vista,505 Jardim Flores, Sao Paulo, SP, Brazil
dc.description.affiliationPolytech Porto IPP, Res Grp Intelligent Engn & Comp Adv Innovat & Dev, P-4000045 Porto, Portugal
dc.description.affiliationTecnol Monterrey, Sch Engn & Sci, Comp Dept, Campus Puebla,Via Atlixcayotl 5718, Reserva Terr Atlixcayotl 72453, Puebla Pue, Mexico
dc.description.affiliationTecnol Monterrey, Escuela Ingn & Ciencias, Carr Lago Guadalupe Km 3-5, Atizapan 54766, Edomex, Mexico
dc.description.affiliationUnespSao Paulo State Univ, Campus Sao Joao Boa Vista,505 Jardim Flores, Sao Paulo, SP, Brazil
dc.description.sponsorshipAsociacion Mexicana de Cultura A.C.
dc.format.extent23
dc.identifierhttp://dx.doi.org/10.3390/s19112489
dc.identifier.citationSensors. Basel: Mdpi, v. 19, n. 11, 23 p., 2019.
dc.identifier.doi10.3390/s19112489
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/11449/184535
dc.identifier.wosWOS:000472133300067
dc.language.isoeng
dc.publisherMdpi
dc.relation.ispartofSensors
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectdetection and mitigation jamming
dc.subjectperformance metrics
dc.subjectwireless sensor networks
dc.titleNew Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacksen
dc.typeArtigo
dcterms.rightsHolderMdpi
unesp.author.orcid0000-0002-0272-3275[1]
unesp.author.orcid0000-0001-8638-8373[4]
unesp.author.orcid0000-0002-3465-995X[6]

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