Del-Valle-Soto, Carolina
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Del-Valle-Soto, Carolina
Official Name
del Valle Soto, Carolina
Alternative Name
cvalle
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ORCID
Scopus Author ID
56257456700
Researcher ID
T-5779-2017

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Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies

2020 , Fernando Lezama , Alberto F. Martínez-Herrera , Gerardo Castañón , Del-Valle-Soto, Carolina , Ana Maria Sarmiento , Enrique Muñoz de Cote

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The use of ellipse-based estimator as a sub-key distinguisher for Side-Channel Analysis

2021 , Alberto F. Martínez-Herrera , Carlos Mex-Perera , Cuauhtemoc Mancillas-López , Del-Valle-Soto, Carolina , Lilian Bossuet

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A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks

2021 , Del-Valle-Soto, Carolina , Carlos Mex-Perera , Juan Arturo Nolazco-Flores , Rodríguez Vázquez, Alma Nayeli , Rosas-caro, Julio , Alberto F. Martínez-Herrera

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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