DelValle-Soto, CarolinaMex-Perera, CarlosNolazco-Flores, Juan A.Rodríguez-Vázquez, Alma N.Rosas-Caro, Julio C.Martínez-Herrera, Alberto F.2024-02-092024-02-092021-02DelValle-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).1424-8220https://hdl.handle.net/11117/10790Wireless 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.engCluster-based ProtocolsJammingRouting ProtocolsEnergyWireless Sensor Networksinfo:eu-repo/semantics/article