面向物联网的无线传感器网络异构组网技术研究

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.

Heterogeneous networking technology research on wireless sensor networks in Internet of Things

Networking technology is one of the foundations to the large scale WSNs. Network model and node location deployment is an important part of networking in WSNs. According to the characteristics of the large scale WSNs and the analysis in IoT needs, a new type of network model suitable was presented which combined the advantages of Star model and Mesh model. In the meantime after the improvement in the RDF algorithm through united density priority with neighbor information, the NDF algorithm that Suitable for network node deployment to large scale WSNs was presented which would be saved and prolonged the network life time. Tests showed that through the new network model and NDF algorithm to form a large scale WSNs networks for the IoT, complete real time monitoring and accurately data acquisition, and that to achieve the requirements on rapid and accurate data.