适用于大规模无线传感器网的流量优化系统设计

针对大规模无线传感器网络(WSN)流量随访问者数量增加而上升的问题,设计并实现了一种适用于构建大型WSN并降低系统流量的应用系统框架。系统采用IPv6和低功耗无线个域网的IPv6技术(6LoWPAN)搭建大规模WSN,使用消息队列遥测传输(MQTT)协议和针对WSN设计的消息队列遥测传输(MQTT-SN)协议在应用层搭建了连接WSN和传统互联网的发布/订阅结构。实验结果显示,当系统中存在5个传感器节点时,与受限应用协议(CoAP)构建的WSN应用系统相比,提出的系统框架的数据流量仅为前者的18%左右。这表明该系统框架可有效地控制访问者增加对WSN流量造成的影响。

Design of data traffic optimization system for large-scale wireless sensor networks

Aiming at the problem that the data traffic rises with the increase of data visitors in large-scale Wireless Sensor Networks (WSN), a data traffic optimization WSN system framework was designed and implemented to build large-scale WSN and reduce the network data traffic. The IPv6 and IPv6 over Low Power Wireless Personal Area Network (6LoWPAN) technology were adopted to build large-scale WSN. To integrate the WSN and traditional Internet, the Message Queuing Telemetry Transport (MQTT) and Message Queuing Telemetry Transport for Sensor Network (MQTT-SN) protocols were deployed in application layer to build system publish/subscribe model. The experimental results show that, when system has 5 sensor nodes, compared with the Constrained Application Protocol (CoAP) based WSN system, the data traffic of the proposed system is 18% of the former. It proves that the proposed system framework can effectively control the impact caused by increasing visitors to WSN data traffic.