| 刘颜颜,计成超.基于拓扑区域一体化成型映射机制的物联网快速收敛算法[J].井冈山大学自然版,2019,40(4):52-56,71 |
| 基于拓扑区域一体化成型映射机制的物联网快速收敛算法 |
| FAST CONVERGENCE ALGORITHMS FOR INTERNET OF THINGS BASED ON MAPPING MECHANISM OF TOPOLOGICAL AREA INTEGRATION |
| 投稿时间：2019-03-05 修订日期：2019-06-10 |
| DOI：10.3969/j.issn.1674-8085.2019.04.010 |
| 中文关键词: 物联网 网络收敛 聚类方法 泊松分布 信道退避 路由抖动 |
| 英文关键词: Internet of Things network convergence Poisson distribution clustering channel back-off routing jitter |
| 基金项目:安徽省高校优秀青年人才支持计划项目（gxyq2017239）；安徽省职业与成人教育学会教育科研规划课题（azjxh17022） |
|
| 摘要点击次数: 1509 |
| 全文下载次数: 1830 |
| 中文摘要: |
| 为解决物联网快速收敛算法存在的收敛性能较差、网络稳定时间较短的不足，提出了基于拓扑区域一体化成型映射机制的物联网快速收敛算法。首先，根据物联网节点分布具有的随机分布特性及泊松分布特性，通过聚类方式来构建聚合度-权重值裁决模型，以实现路由的稳定收敛，消除因簇头节点失效而导致的区域上传缓慢的现象；随后，采用退避机制来提升簇头节点的传输性能，有效降低因能量受限而导致的网络传输缓慢的现象，优化路由收敛性能，降低因路由抖动而导致的网络瘫痪概率。仿真实验结果表明：与常见的时间度一体化物联网收敛算法（Convergence Algorithm for Time-Integrated Internet of Things，TI-IOT算法）、路由集中度快速收敛算法（A Fast Convergence Algorithm for Routing Concentration Degree，RCD算法）相比，所提算法具有更高的网络稳定工作时间及较快的收敛速度，以及更小的路由冗余度。 |
| 英文摘要: |
| In order to solve the shortcomings of the current fast convergence algorithm of the Internet of Things (IoT), such as poor convergence performance and short network stability time, a fast convergence algorithm based on the mapping mechanism of the integration of topological regions is proposed. Firstly, according to the random distribution and Poisson distribution characteristics of the node distribution in IoT, the aggregation degree-weight decision model is constructed by clustering method to achieve the stable convergence of routing, eliminate the slow upload of the region caused by the failure of cluster-head nodes, and enhance the convergence performance of the algorithm. Then, the back-off method is used to improve the transmission performance of cluster-head nodes and further degrade the convergence performance. Low energy constraints lead to slow network transmission, improve routing convergence performance and reduce the probability of network paralysis caused by routing jitter. The simulation results show that compared with the common convergence algorithms for Time-Integrated IoT and fast convergence algorithms for routing concentration degree, the proposed algorithm has the advantages of short network convergence time, high residual energy of nodes, etc. Routing redundancy is small, and the network works stably for a long time, which is of high practical value. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
