Chen Yibo, Chanet Jean-Pierre, Hou Kun-Mean, Shi Hongling, de Sousa Gil
IRSTEA - Centre de Clermont-FD, TSCF, 63173 Aubière, France.
Laboratoire LIMOS UMR 6158 CNRS, 63173 Aubière, France.
Sensors (Basel). 2015 Aug 10;15(8):19507-40. doi: 10.3390/s150819507.
In recent years, IoT (Internet of Things) technologies have seen great advances, particularly, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL), which provides a powerful and flexible routing framework that can be applied in a variety of application scenarios. In this context, as an important role of IoT, Wireless Sensor Networks (WSNs) can utilize RPL to design efficient routing protocols for a specific application to increase the ubiquity of networks with resource-constrained WSN nodes that are low-cost and easy to deploy. In this article, our work starts with the description of Agricultural Low-power and Lossy Networks (A-LLNs) complying with the LLN framework, and to clarify the requirements of this application-oriented routing solution. After a brief review of existing optimization techniques for RPL, our contribution is dedicated to a Scalable Context-Aware Objective Function (SCAOF) that can adapt RPL to the environmental monitoring of A-LLNs, through combining energy-aware, reliability-aware, robustness-aware and resource-aware contexts according to the composite routing metrics approach. The correct behavior of this enhanced RPL version (RPAL) was verified by performance evaluations on both simulation and field tests. The obtained experimental results confirm that SCAOF can deliver the desired advantages on network lifetime extension, and high reliability and efficiency in different simulation scenarios and hardware testbeds.
近年来,物联网(IoT)技术取得了巨大进展,尤其是低功耗有损网络的IPv6路由协议(RPL),它提供了一个强大且灵活的路由框架,可应用于各种应用场景。在此背景下,作为物联网的重要组成部分,无线传感器网络(WSN)可以利用RPL为特定应用设计高效的路由协议,以提高由低成本且易于部署的资源受限WSN节点组成的网络的普及程度。在本文中,我们的工作从描述符合低功耗有损网络(LLN)框架的农业低功耗有损网络(A-LLN)开始,以阐明这种面向应用的路由解决方案的要求。在简要回顾了现有的RPL优化技术之后,我们的贡献致力于一种可扩展的上下文感知目标函数(SCAOF),该函数可以根据复合路由度量方法,通过结合能量感知、可靠性感知、鲁棒性感知和资源感知上下文,使RPL适应A-LLN的环境监测。通过在模拟和现场测试中的性能评估,验证了这种增强型RPL版本(RPAL)的正确行为。获得的实验结果证实,SCAOF在不同的模拟场景和硬件测试平台上,在延长网络寿命以及提高可靠性和效率方面能够带来预期的优势。