6LoWPAN适配层分片与重组算法性能分析

Performance Analysis for Fragmentation and Assembly Algorithm of 6LoWPAN Adaptation Layer

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。

In the perceptual layer of the Internet of Things,introducing IPv6 protocol is the key research direction. The length of the data load between IPv6 protocol and IEEES02. 15. 4 protocol does not match that the upper level data packets can＇ t directly exchange data with the underlying protocol. The fragmentation and restructuration algorithm through adaptation layer protocol was used to solve the problem of payload length incompatibilities between the above two kinds of protocols. In order to analyse algorithm performance, fragmentation and assembly algorithm of 6LoWPAN, the improved fragmentation and assembly algorithm of 6LoWPAN and another improved fragmentation and assembly algorithm of 6LoWPAN combining each-hop ARQ algorithm were mathematically modeled and simulated. Firstly, fragmentation and assembly algorithms were simulated and analyzed through the network energy consumption and delay effects of the main performance indexes which contain bit error rate and the number of hop. Secondly, a novel adaptive algorithm framework which aims at optimizing network performance and saving network resources was pro- posed,so that the adaptation layer can choose different fragmentation and assembly algorithms under the changed net- work environment.