Fuzzy Logic Based Multidimensional Link Quality Estimation for Multi-Hop Wireless Sensor Networks

Fuzzy Logic Based Multidimensional Link Quality Estimation for Multi-Hop Wireless Sensor Networks
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基于模糊逻辑的多跳无线传感器网络多维链路质量估计

DOI:
10.1109/jsen.2013.2272054
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发表时间:
2013-07
影响因子:
4.3
通讯作者:
He, Jie
He, Jie
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Guo, Zhi-Qiang;Wang, Qin;Li, Mo-Han;He, Jie

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在多跳无线传感器网络的应用中,有效评估无线链路质量以提高网络可靠性是网络协议设计中的关键问题。然而,无线信道的有损和动态特性使得链路质量估计成为一个巨大的挑战。首先,使用数据驱动建模和统计推理方法对无线链路丢包突发性进行建模,反映了数据链路层分组重传的可靠性。然后,从表征无线链路质量的多维角度出发,提出了基于模糊逻辑的链路质量指标(FLI),该指标综合反映了分组传输的单跳可靠性、链路波动性和分组丢失突发。最后,我们在集合树协议(CTP)中实现了一个基于FLI的无线链路质量估计器。通过与CTP中原有的链路质量估计器进行实验比较,新的链路质量估计器在保证较高的端到端传输可靠性的同时,降低了节点的平均路由深度和网络拓扑的动态变化。
In the applications of multi-hop wireless sensor networks, the effective evaluation of wireless link quality which can improve the network reliability is a crucial problem in the design of network protocols. The lossy and dynamic nature of the radio channel, however, makes link quality estimation a great challenge. First, we use data-driven modeling and statistical inference methods to model the burstiness of wireless link packet loss, which reflects the reliability of packet retransmission in the data link layer. Then, from a multidimensional view of characterizing the wireless link quality, we present the fuzzy logic based link quality indicator (FLI), which is a comprehensive reflection of single hop reliability of packet delivery, link volatility, and packet loss burst. Finally, we implement a wireless link quality estimator based on FLI in the collection tree protocol (CTP). Through the experimental comparison with the original link quality estimator in the CTP, the network performance with the new link quality estimator guarantees high end to end delivery reliability, while the average routing depth of the nodes and the dynamic changes of network topology are reduced.
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