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Sensors 2015, 15(8), 19541-19559; doi:10.3390/s150819541

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

Centro de Investigación en Tecnologías Software y Sistemal Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Ploitécnica de Madrid (UPM), Madrid 28031, Spain
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Academic Editor: Leonhard M. Reindl
Received: 10 June 2015 / Revised: 10 June 2015 / Accepted: 5 August 2015 / Published: 10 August 2015
(This article belongs to the Special Issue Mobile Sensor Computing: Theory and Applications)
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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. View Full-Text
Keywords: cross-layer design; routing algorithm; fuzzy logic; balanced performance; dynamic weight cross-layer design; routing algorithm; fuzzy logic; balanced performance; dynamic weight
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MDPI and ACS Style

Li, N.; Martínez, J.-F.; Díaz, V.H. The Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic. Sensors 2015, 15, 19541-19559.

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