The Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic.
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.
Centro de Investigación en Tecnologías Software y Sistemal Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Ploitécnica de Madrid (UPM), Madrid 28031, Spain. li.ning@upm.es.
Ning
N
Li
Centro de Investigación en Tecnologías Software y Sistemal Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Ploitécnica de Madrid (UPM), Madrid 28031, Spain. jfmartin@diatel.upm.es.
José-Fernán
JF
Martínez
Centro de Investigación en Tecnologías Software y Sistemal Multimedia para la Sostenibilidad (CITSEM), Campus Sur Universidad Ploitécnica de Madrid (UPM), Madrid 28031, Spain. vhernandez@diatel.upm.es.
Vicente
V
Hernández Díaz
balanced performance; cross-layer design; dynamic weight; fuzzy logic; routing algorithm