The Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic

Li, Ning and Martínez Ortega, José Fernán and Hernández Díaz, Vicente (2015). The Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic. "Sensors", v. 8 (n. 15); pp. 19541-19559. ISSN 1424-8220. https://doi.org/10.3390/s150819541.

Description

Title: The Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic
Author/s:
  • Li, Ning
  • Martínez Ortega, José Fernán
  • Hernández Díaz, Vicente
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 10 August 2015
ISSN: 1424-8220
Volume: 8
Subjects:
Freetext Keywords: cross-layer design; routing algorithm; fuzzy logic; balanced performance; dynamic weight
Faculty: Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM) (UPM)
Department: Ingeniería Telemática y Electrónica
UPM's Research Group: Redes y Servicios de Próxima Generación GRyS
Creative Commons Licenses: None

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Abstract

Recently, the cross-layer design for the wireless sensor network communication protocol has become more and more important and popular. Considering the disadvantages of the traditional cross-layer routing algorithms, in this paper we propose a new fuzzy logic-based routing algorithm, named the Balanced Cross-layer Fuzzy Logic (BCFL) routing algorithm. In BCFL, we use the cross-layer parameters’ dispersion as the fuzzy logic inference system inputs. Moreover, we give each cross-layer parameter a dynamic weight according the value of the dispersion. For getting a balanced solution, the parameter whose dispersion is large will have small weight, and vice versa. In order to compare it with the traditional cross-layer routing algorithms, BCFL is evaluated through extensive simulations. The simulation results show that the new routing algorithm can handle the multiple constraints without increasing the complexity of the algorithm and can achieve the most balanced performance on selecting the next hop relay node. Moreover, the Balanced Cross-layer Fuzzy Logic routing algorithm can adapt to the dynamic changing of the network conditions and topology effectively.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7295372DEMANESITÄ-SUOMEN YLIOPISTODesign, Monitoring and Operation of Adaptive Networked Embedded Systems

More information

Item ID: 38157
DC Identifier: http://oa.upm.es/38157/
OAI Identifier: oai:oa.upm.es:38157
DOI: 10.3390/s150819541
Official URL: http://www.mdpi.com/1424-8220/15/8/19541
Deposited by: Profesor Vicente Hernández Díaz
Deposited on: 19 Oct 2015 10:50
Last Modified: 19 Oct 2015 11:19
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