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组网技术是实现大规模WSNs网络的基础之一,网络模型和节点位置部署是研究WSNs组网的重要内容.针对大规模无线传感器网络的特性,在研究和分析WSNs网络结构和物联网需求的基础上,结合Star模型和Mesh模型的优点,提出了一种面向物联网的WSNs新型网络模型;同时,结合密度优先原则和邻节点信息思想对RDF算法进行改进,提出了适合大规模WSNs的网络节点部署的NDF算法,其节省了网络能量、延长了网络寿命.试验表明:通过新型组网模型和NDF算法组建面向物联网的大规模WSNs网络,能够实时、精确的监测和采集测量数据,在节省了网络能量的同时也提高了网络数据的准确度.
Networking technology is one of the foundations for realizing large-scale WSNs network.Network model and node location deployment are important contents to study WSNs networking.Aiming at the characteristics of large-scale wireless sensor networks, we study and analyze the network structure of WSNs and the requirements of Internet of Things Based on the advantages of Star model and Mesh model, a new network model of WSNs for IoT is proposed. At the same time, the RDF algorithm is improved based on the principle of density prioritization and neighbor information, and a network suitable for large scale WSNs Node’s NDF algorithm saves the network energy and prolongs the lifetime of the network.Experiments show that the large-scale WSNs network oriented to the Internet of Things (IoT) can be set up by the new network model and NDF algorithm, which can monitor and collect the measurement data in real time and accurately. Save the network energy but also improve the accuracy of network data.