A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks
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Fecha
2021-02
Autores
DelValle-Soto, Carolina
Mex-Perera, Carlos
Nolazco-Flores, Juan A.
Rodríguez-Vázquez, Alma N.
Rosas-Caro, Julio C.
Martínez-Herrera, Alberto F.
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Editor
MDPI
Resumen
Descripción
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.
Palabras clave
Cluster-based Protocols, Jamming, Routing Protocols, Energy, Wireless Sensor Networks
Citación
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).