6LoWPAN适配层分片与重组算法性能分析

发布时间：2019-04-25 11:46

【摘要】：将IPv6协议引入物联网感知层是物联网感知层的重点研究方向。由于IPv6协议与IEEE802.15.4协议数据载荷长度之间的不匹配,其上层协议数据包无法直接与底层协议进行数据交换,因此采用适配层中的分片与重组算法协议解决两种协议载荷长度的不兼容问题。为了具体分析算法性能,对6LoWPAN分片重组算法、改进算法及另一种带有每跳ARQ算法的改进算法进行数学建模及数据仿真,一方面对分片与重组算法的性能进行分析比较,通过仿真实验分析误码率、跳数等主要性能指标对网络能耗、时延性能的影响;另一方面提出一种新的自适应算法框架,使得适配层可以在变化的网络环境下选择不同的分片重组算法,来达到在物联网感知层中进一步优化网络性能、节省网络资源的目的。
[Abstract]:The introduction of IPv6 protocol into the Internet of things perception layer is the key research direction of the Internet of things perception layer. Due to the mismatch between the IPv6 protocol and the IEEE802.15.4 protocol data payload length, the upper layer protocol packets cannot be exchanged directly with the underlying protocol. Therefore, the incompatibility between the load length of the two protocols is solved by the slicing and recombination algorithm protocol in the adaptation layer. In order to analyze the performance of the algorithm in detail, the mathematical modeling and data simulation of the 6LoWPAN piecewise recombination algorithm, the improved algorithm and another improved algorithm with each hop ARQ algorithm are carried out. On the one hand, the performance of the fragmentation and recombination algorithm is analyzed and compared. The effects of the main performance indexes such as bit error rate (BER) and hop number on the network energy consumption and delay performance are analyzed by simulation experiments. On the other hand, a new adaptive algorithm framework is proposed, which enables the adaptation layer to select different piecewise recombination algorithms in the changing network environment to further optimize the network performance and save the network resources in the perceptual layer of the Internet of things.
【作者单位】：重庆邮电大学宽带泛在接入技术研究所;
【基金】：国家自然科学基金(61371097) 重庆邮电大学青年基金项目(A2012-93)资助
【分类号】：TP391.44;TN929.5

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