ArticleSensors (Basel, Switzerland)2021
A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A Systematic Review and Energy-Centric Taxonomy of Jamming Attacks and Countermeasures in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2026Review
- Detection and isolation of wormhole nodes in wireless ad hoc networks based on post-wormhole actions.Scientific reports · 2024Article
- Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs Under Jamming Attacks.Sensors (Basel, Switzerland) · 2023Article
- Scientific Developments and New Technological Trajectories in Sensor Research.Sensors (Basel, Switzerland) · 2021Article
- Low-Power Wireless Sensor Network Using Fine-Grain Control of Sensor Module Power Mode.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
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.
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