- -

Active low intrusion hybrid monitor for wireless sensor networks

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Active low intrusion hybrid monitor for wireless sensor networks

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Navia, Marlon es_ES
dc.contributor.author Campelo Rivadulla, José Carlos es_ES
dc.contributor.author Bonastre Pina, Alberto Miguel es_ES
dc.contributor.author Ors Carot, Rafael es_ES
dc.contributor.author Capella Hernández, Juan Vicente es_ES
dc.contributor.author Serrano Martín, Juan José es_ES
dc.date.accessioned 2015-10-20T10:05:00Z
dc.date.available 2015-10-20T10:05:00Z
dc.date.issued 2015-09
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10251/56246
dc.description.abstract Several systems have been proposed to monitor wireless sensor networks (WSN). These systems may be active (causing a high degree of intrusion) or passive (low observability inside the nodes). This paper presents the implementation of an active hybrid (hardware and software) monitor with low intrusion. It is based on the addition to the sensor node of a monitor node (hardware part) which, through a standard interface, is able to receive the monitoring information sent by a piece of software executed in the sensor node. The intrusion on time, code, and energy caused in the sensor nodes by the monitor is evaluated as a function of data size and the interface used. Then different interfaces, commonly available in sensor nodes, are evaluated: serial transmission (USART), serial peripheral interface (SPI), and parallel. The proposed hybrid monitor provides highly detailed information, barely disturbed by the measurement tool (interference), about the behavior of the WSN that may be used to evaluate many properties such as performance, dependability, security, etc. Monitor nodes are self-powered and may be removed after the monitoring campaign to be reused in other campaigns and/or WSNs. No other hardware-independent monitoring platforms with such low interference have been found in the literature. es_ES
dc.description.sponsorship This research was supported by the Valencian Regional Government under Research Project GV/2014/012, the Polytechnic University of Valencia under Research Projects VLC/Campus UPV PAID-06-12, financed by the Ministerio de Educacion, Cultura y Deporte as part of the program Campus de excelencia internacional UPV SP20140730 and UPV SP20150050, and the Spanish government under projects CTM2011-29691-C02-01 and TIN2011-28435-C03-0. en_EN
dc.language Inglés es_ES
dc.publisher MDPI es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Monitoring es_ES
dc.subject Hybrid monitor es_ES
dc.subject Intrusion es_ES
dc.subject Wireless sensor networks es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Active low intrusion hybrid monitor for wireless sensor networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s150923927
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2014%2F012/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//SP20140730/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-12/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//SP20150050/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//CTM2011-29691-C02-01/ES/SENSORIZACION AMBIENTAL SUBACUATICA PARA LA INSPECCION Y MONITORIZACION DE EXPLOTACIONES DE ACUICULTURA MARINA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2011-28435-C03-01/ES/INVESTIGACION EN LA MEJORA DE LA CONFIABILIDAD DE APLICACIONES BASADAS EN WSN MEDIANTE EL DESARROLLO DE UNA PLATAFORMA HIBRIDA DE MONITORIZACION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Navia, M.; Campelo Rivadulla, JC.; Bonastre Pina, AM.; Ors Carot, R.; Capella Hernández, JV.; Serrano Martín, JJ. (2015). Active low intrusion hybrid monitor for wireless sensor networks. Sensors. 15(9):23927-23952. https://doi.org/10.3390/s150923927 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.mdpi.com/1424-8220/15/9/23927/htm es_ES
dc.description.upvformatpinicio 23927 es_ES
dc.description.upvformatpfin 23952 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 9 es_ES
dc.relation.senia 293644 es_ES
dc.identifier.pmid 26393604 en_EN
dc.identifier.pmcid PMC4610572 en_EN
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.description.references Mahapatro, A., & Khilar, P. M. (2013). Fault Diagnosis in Wireless Sensor Networks: A Survey. IEEE Communications Surveys & Tutorials, 15(4), 2000-2026. doi:10.1109/surv.2013.030713.00062 es_ES
dc.description.references Rodrigues, A., Camilo, T., Silva, J. S., & Boavida, F. (2012). Diagnostic Tools for Wireless Sensor Networks: A Comparative Survey. Journal of Network and Systems Management, 21(3), 408-452. doi:10.1007/s10922-012-9240-6 es_ES
dc.description.references Schoofs, A., O’Hare, G. M. P., & Ruzzelli, A. G. (2012). Debugging Low-Power and Lossy Wireless Networks: A Survey. IEEE Communications Surveys & Tutorials, 14(2), 311-321. doi:10.1109/surv.2011.021111.00098 es_ES
dc.description.references FAQ—TinyOS Wikihttp://tinyos.stanford.edu/tinyos-wiki/index.php/FAQ es_ES
dc.description.references Garcia, F., Andrade, R., Oliveira, C., & de Souza, J. (2014). EPMOSt: An Energy-Efficient Passive Monitoring System for Wireless Sensor Networks. Sensors, 14(6), 10804-10828. doi:10.3390/s140610804 es_ES
dc.description.references Yunhao Liu, Kebin Liu, & Mo Li. (2010). Passive Diagnosis for Wireless Sensor Networks. IEEE/ACM Transactions on Networking, 18(4), 1132-1144. doi:10.1109/tnet.2009.2037497 es_ES
dc.description.references Information Technology—Open Systems Interconnection—Basic Reference Modelhttp://www.iso.org/iso/home/store/catalogue_tc/catalogue_detail.htm?-csnumber=20269 es_ES
dc.description.references STM32F051R8 ARM Cortex-M0 MCUhttp://www.st.com/web/catalog/mmc/ es_ES
dc.description.references CMSIS-Cortex Microcontroller Software Interface Standardhttp://www.arm.com/products/processors/cortex-m/cortex-microcontroller-software-interface-standard.php es_ES
dc.description.references Keil MDK-ARM Version 5http://www2.keil.com/mdk5/ es_ES
dc.description.references 34405A Digital Multimeter, 5½ digit | Keysight (Agilent)http://www.keysight.com/en/pd-686884-pn-34405A/ es_ES
dc.description.references Gharghan, S., Nordin, R., & Ismail, M. (2014). Energy-Efficient ZigBee-Based Wireless Sensor Network for Track Bicycle Performance Monitoring. Sensors, 14(8), 15573-15592. doi:10.3390/s140815573 es_ES
dc.description.references Molina-Garcia, A., Fuentes, J. A., Gomez-Lazaro, E., Bonastre, A., Campelo, J. C., & Serrano, J. J. (2012). Development and Assessment of a Wireless Sensor and Actuator Network for Heating and Cooling Loads. IEEE Transactions on Smart Grid, 3(3), 1192-1202. doi:10.1109/tsg.2012.2187542 es_ES
dc.description.references Lee, D.-S., Liu, Y.-H., & Lin, C.-R. (2012). A Wireless Sensor Enabled by Wireless Power. Sensors, 12(12), 16116-16143. doi:10.3390/s121216116 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem