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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Scopus Author ID
56257456700
Researcher ID
T-5779-2017

Research Output

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Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on Yellow Saddle Goatfish Algorithm

2020 , Rodríguez Vázquez, Alma Nayeli , Del-Valle-Soto, Carolina , Velázquez, Ramiro

The usage of wireless sensor devices in many applications, such as in the Internet of Things and monitoring in dangerous geographical spaces, has increased in recent years. However, sensor nodes have limited power, and battery replacement is not viable in most cases. Thus, energy savings in Wireless Sensor Networks (WSNs) is the primary concern in the design of efficient communication protocols. Therefore, a novel energy-efficient clustering routing protocol for WSNs based on Yellow Saddle Goatfish Algorithm (YSGA) is proposed. The protocol is intended to intensify the network lifetime by reducing energy consumption. The network considers a base station and a set of cluster heads in its cluster structure. The number of cluster heads and the selection of optimal cluster heads is determined by the YSGA algorithm, while sensor nodes are assigned to its nearest cluster head. The cluster structure of the network is reconfigured by YSGA to ensure an optimal distribution of cluster heads and reduce the transmission distance. Experiments show competitive results and demonstrate that the proposed routing protocol minimizes the energy consumption, improves the lifetime, and prolongs the stability period of the network in comparison with the stated of the art clustering routing protocols.

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A Metaheuristic Scheme Based on the Hunting Model of Yellow Saddle Goatfish

2021 , Erik Cuevas , Rodríguez Vázquez, Alma Nayeli , Alejo-Reyes, Avelina , Del-Valle-Soto, Carolina

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Robust Clustering Routing Method for Wireless Sensor Networks Considering the Locust Search Scheme

2021 , Rodríguez Vázquez, Alma Nayeli , Marco Pérez-Cisneros , Rosas-caro, Julio , Del-Valle-Soto, Carolina , Jorge Gálvez , Erik Cuevas

Multiple applications of sensor devices in the form of a Wireless Sensor Network (WSN), such as those represented by the Internet of Things and monitoring dangerous geographical spaces, have attracted the attention by several scientific communities. Despite their interesting properties, sensors present an adverse characteristic: they manage very limited energy. Under such conditions, saving energy represents one of the most important concepts in designing effective protocols for WSNs. The objective of a protocol is to increase the network lifetime through the reduction of energy consumed by each sensor. In this paper, a robust clustering routing protocol for WSNs is introduced. The scheme uses the Locust Search (LS-II) method to determine the number of cluster heads and to identify the optimal cluster heads. Once the cluster heads are recognized, the other sensor elements are assigned to their nearest corresponding cluster head. Numerical simulations exhibit competitive results and demonstrate that the proposed protocol allows for the minimization of the energy consumption, extending the network lifetime in comparison with other popular clustering routing protocols.

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A survey of energy-efficient clustering routing protocols for wireless sensor networks based on metaheuristic approaches

2023 , Del-Valle-Soto, Carolina , Cesar Rodolfo Ascencio-Piña , Rodríguez Vázquez, Alma Nayeli

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Clustering Model Based on the Human Visual System

2021 , Erik Cuevas , Rodríguez Vázquez, Alma Nayeli , Alejo-Reyes, Avelina , Del-Valle-Soto, Carolina

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Metaheuristic Algorithm Based on Hybridization of Invasive Weed Optimization asnd Estimation Distribution Methods

2021 , Erik Cuevas , Rodríguez Vázquez, Alma Nayeli , Alejo-Reyes, Avelina , Del-Valle-Soto, Carolina

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Introductory Concepts of Metaheuristic Computation

2021 , Erik Cuevas , Rodríguez Vázquez, Alma Nayeli , Alejo-Reyes, Avelina , Del-Valle-Soto, Carolina

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Metaheuristic Algorithms for Wireless Sensor Networks

2021 , Erik Cuevas , Rodríguez Vázquez, Alma Nayeli , Alejo-Reyes, Avelina , Del-Valle-Soto, Carolina

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Metaheuristic Algorithms Applied to the Inventory Problem

2021 , Erik Cuevas , Rodríguez Vázquez, Alma Nayeli , Alejo-Reyes, Avelina , Del-Valle-Soto, Carolina

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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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