A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks
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 thr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/4/1179 |
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| author | Carolina Del-Valle-Soto Carlos Mex-Perera Juan Arturo Nolazco-Flores Alma Rodríguez Julio C. Rosas-Caro Alberto F. Martínez-Herrera |
| author_facet | Carolina Del-Valle-Soto Carlos Mex-Perera Juan Arturo Nolazco-Flores Alma Rodríguez Julio C. Rosas-Caro Alberto F. Martínez-Herrera |
| author_sort | Carolina Del-Valle-Soto |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T05:10:37Z |
| format | Article |
| id | doaj.art-fef519ea8c9841b195b50021e9149fda |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:10:37Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fef519ea8c9841b195b50021e9149fda2023-12-03T12:50:28ZengMDPI AGSensors1424-82202021-02-01214117910.3390/s21041179A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor NetworksCarolina Del-Valle-Soto0Carlos Mex-Perera1Juan Arturo Nolazco-Flores2Alma Rodríguez3Julio C. Rosas-Caro4Alberto F. Martínez-Herrera5Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, MexicoITAM, Rio Hondo 1, Mexico City 01080, MexicoComputing Department School of Engineering and Science, Tecnologico de Monterrey, Campus Puebla, Vía Atlixcáyotl No. 5718, Reserva Territorial Atlixcáyotl, Puebla Pue. 72453, MexicoFacultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, MexicoFacultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, MexicoSchool of Engineering and Sciences, Tecnologico de Monterrey, Eugenio Garza Sada 2501 Sur, Monterrey 64849, MexicoWireless 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.https://www.mdpi.com/1424-8220/21/4/1179cluster-based protocolsjammingrouting protocolsenergywireless sensor networks |
| spellingShingle | Carolina Del-Valle-Soto Carlos Mex-Perera Juan Arturo Nolazco-Flores Alma Rodríguez Julio C. Rosas-Caro Alberto F. Martínez-Herrera A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks Sensors cluster-based protocols jamming routing protocols energy wireless sensor networks |
| title | A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks |
| title_full | A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks |
| title_fullStr | A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks |
| title_full_unstemmed | A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks |
| title_short | A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks |
| title_sort | low cost jamming detection approach using performance metrics in cluster based wireless sensor networks |
| topic | cluster-based protocols jamming routing protocols energy wireless sensor networks |
| url | https://www.mdpi.com/1424-8220/21/4/1179 |
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