2019028-1
研究与开发
一种基于 SDN 的物联网数据聚合方案
王博伟，谭劲，蒋文斌
（中国计量大学信息工程学院，浙江 杭州 310018）
摘 要：物联网设备产生和发送的数据中存在许多重复冗余的部分，传输这些数据降低了网络寿命和带宽。
针对这个问题提出了聚合网关层，设计了一种基于 SDN 的物联网数据聚合体系结构和算法。仿真分析表明，
设计的体系结构与普通网关和 OF-GW 的体系结构相比，网络寿命提高了约 32.6%，感知层发送到网络层中的
数据分组量减少了 6.1%～55.1%，设计的规则算法与 LEACH 算法相比，数据聚合的平均时延降低了约 24.1%，
同时避免了数据缺失，提高了数据聚合的准确性。
关键词：物联网；SDN；数据聚合；体系结构；LEACH；灰色预测模型
中图分类号：TP393
文献标识码：A
doi: 10.11959/j.issn.1000−0801.2019028
Data aggregation scheme based on
SDN for internet of things
WANG Bowei, TAN Jin, JIANG Wenbin
College of Information Engineering, China Jiliang University, Hangzhou 310018, China
Abstract: There are many redundant parts in the data generated and transmitted by IoT devices. Transmitting this da-
ta reduces network lifetime and bandwidth. Aiming at the problem, the aggregation gateway layer was proposed, and
a SDN-based IoT data aggregation architecture and algorithm were designed. The simulation analysis shows that
compared with the architecture of the ordinary gateway and OF-GW, the network lifetime is improved by about
32.6%, and the amount of data packets sent by the sensing layer to the network layer is reduced by 6.1% to 55.1%.
Compared with the LEACH algorithm, the designed rule algorithm reduces the average delay of data aggregation by
about 24.1%, while avoiding data loss and improving the accuracy of data aggregation.
Key words: internet of things, SDN, data aggregation, architecture, LEACH, grey prediction model
1 引言
传统互联网和物联网架构与网络能力存在着
对资源调度和配置的灵活性不足、对新业务和应
用的开通部署慢、对网络运营维护的要求高等问
题，需要引入新的技术和架构以保持通信网络持
收稿日期：2018−11−12；修回日期：2019−01−22
基金项目：浙江省自然科学基金资助项目（No.LY16F020013）
Foundation Item: The Natural Science Foundation of Zhejiang Province of China (No.LY16F020013)
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