基于IEEE 802.15.4的无线传感器网络自适应通信协议:在家庭老年人监控中的应用

Juan Lu, A. Bossche, E. Campo
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引用次数: 10

摘要

对独居老人和残疾人的行为监测已成为现代社会的一个重大公共卫生问题。在家庭监控领域涉及的各种科学方面中,我们对研究和提出一种解决方案感兴趣,该解决方案允许分布式传感器节点以适应特定应用约束的最佳方式相互通信。更准确地说,我们想要建立一个由多个短程传感器节点组成的无线网络,这些节点根据MAC (Medium Access Control)级别的通信协议在它们之间交换数据。该协议必须能够优化能耗、传输时间和信息丢失。为了实现这一目标,我们根据我们的应用需求分析了目前使用的WSN(无线传感器网络)技术和通信协议的优点和局限性。在此基础上,提出了一种基于IEEE 802.15.4物理层和网格拓扑结构的确定性、自适应、节能的介质接入方法。由于介质在两跳域内的空间复用,该算法在保证消息传递时间的同时,极大地限制了碰撞风险。利用OPNET网络模拟器对该方案进行了建模和仿真。最后,我们在硬件设备上实现了所提出的机制,并在实际情况下部署了传感器网络,验证了模型的准确性,并根据不同的测试配置对所提出的方案进行了评估。
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An IEEE 802.15.4 Based Adaptive Communication Protocol in Wireless Sensor Network: Application to Monitoring the Elderly at Home
Monitoring behaviour of the elderly and the disabled living alone has become a major public health problem in our modern societies. Among the various scientific aspects involved in the home monitoring field, we are interested in the study and the proposal of a solution allowing distributed sensor nodes to communicate with each other in an optimal way adapted to the specific application constraints. More precisely, we want to build a wireless network that consists of several short range sensor nodes exchanging data between them according to a communication protocol at MAC (Medium Access Control) level. This protocol must be able to optimize energy consumption, transmission time and loss of information. To achieve this objective, we have analyzed the advantages and the limitations of WSN (Wireless Sensor Network) technologies and communication protocols currently used in relation to the requirements of our application. Then we proposed a deterministic, adaptive and energy saving medium access method based on the IEEE 802.15.4 physical layer and a mesh topology. It ensures the message delivery time with strongly limited collision risk due to the spatial reuse of medium in the two-hop neighbourhood. This proposal was characterized by modelling and simulation using OPNET network simulator. Finally we implemented the proposed mechanisms on hardware devices and deployed a sensors network in real situation to verify the accuracy of the model and evaluate the proposal according to different test configurations.
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