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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Ctr Invest Tecnol Software & Sistemal Multimedia Madrid 28031 Spain
出 版 物:《SENSORS》 (传感器)
年 卷 期:2015年第15卷第8期
页 面:19541-19559页
核心收录:
学科分类:0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学]
基 金:European project "Design Monitoring and Operation of Adaptive Networked Embedded Systems" (DEMANES) [ARTEMIS-JU: 295372]
主 题:cross-layer design routing algorithm fuzzy logic balanced performance dynamic weight
摘 要: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.