Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on Yellow Saddle Goatfish Algorithm
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Fecha
2020-09
Autores
Rodríguez-Vázquez, Alma N.
DelValle-Soto, Carolina
Velázquez, Ramiro
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Editor
MDPI
Resumen
Descripción
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 e cient communication
protocols. Therefore, a novel energy-e cient 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.
Palabras clave
Wireless Sensor Networks, Yellow Saddle Goatfish Algorithm, Clustering Routing Protocol, Metaheuristic Algorithms
Citación
Rodríguez-Vázquez, A.N.; DelValle-Soto, C.; Velázquez, R. Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on Yellow Saddle Goatfish Algorithm. Mathematics 2020, 8, 1515. https://doi.org/10.3390/math8091515