| dc.contributor.author | DelValle-Soto, Carolina | |
| dc.contributor.author | Mex-Perera, Carlos | |
| dc.contributor.author | Nolazco-Flores, Juan A. | |
| dc.contributor.author | Rodríguez-Vázquez, Alma N. | |
| dc.contributor.author | Rosas-Caro, Julio C. | |
| dc.contributor.author | Martínez-Herrera, Alberto F. | |
| dc.date.accessioned | 2024-02-09T20:17:39Z | |
| dc.date.accessioned | 2025-03-25T20:30:31Z | |
| dc.date.available | 2024-02-09T20:17:39Z | |
| dc.date.available | 2025-03-25T20:30:31Z | |
| dc.date.issued | 2021-02 | |
| dc.identifier.citation | DelValle-Soto, C.; Mex-Perera, C.; Nolazco-Flores, J.A.; Rodríguez-Vázquez, A.N.; Rosas-Caro, J.C.; Martínez-Herrera, A.F. (2021). A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks. Sensors, 21(4). | es_MX |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12032/159486 | |
| dc.description | Wireless Sensor Networks constitute an important part of the Internet of Things, and in
a similar way to other wireless technologies, seek competitiveness concerning savings in energy
consumption and information availability. These devices (sensors) are typically battery operated
and distributed throughout a scenario of particular interest. However, they are prone to interference
attacks which we know as jamming. The detection of anomalous behavior in the network is a subject
of study where the routing protocol and the nodes increase power consumption, which is detrimental
to the network’s performance. In this work, a simple jamming detection algorithm is proposed
based on an exhaustive study of performance metrics related to the routing protocol and a significant
impact on node energy. With this approach, the proposed algorithm detects areas of affected nodes
with minimal energy expenditure. Detection is evaluated for four known cluster-based protocols:
PEGASIS, TEEN, LEACH, and HPAR. The experiments analyze the protocols’ performance through
the metrics chosen for a jamming detection algorithm. Finally, we conducted real experimentation
with the best performing wireless protocols currently used, such as Zigbee and LoRa. | es_MX |
| dc.description.sponsorship | ITESO, A.C. | es |
| dc.language.iso | eng | es_MX |
| dc.publisher | MDPI | es_MX |
| dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf | es_MX |
| dc.subject | Cluster-based Protocols | es_MX |
| dc.subject | Jamming | es_MX |
| dc.subject | Routing Protocols | es_MX |
| dc.subject | Energy | es_MX |
| dc.subject | Wireless Sensor Networks | es_MX |
| dc.title | A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks | es_MX |
| dc.type | info:eu-repo/semantics/article | es_MX |
| dc.type.version | info:eu-repo/semantics/publishedVersion | es_MX |
