摘要
在异构无线网络中,基于分簇的层次化网络结构可减少通信量、降低能耗、提高网络的可扩展性。对智慧家居网络的特点进行分析,基于分析结果设计了有针对性的分簇算法。该算法可自动适应家庭拓扑,避免穿墙通信造成信号的严重衰减。根据某智慧家居公司的实际部署,构造仿真环境,并做性能验证。仿真结果表明,与传统分簇算法相比,该算法更加适合具有突发数据传输的智慧家居网络,且网络中各设备的时延更加均衡。
In heterogeneous wireless networks, clustering-based hierarchical network structure can reduce communication and energy consumption, and improve network scalability. In this paper, we first analyze the characteristics of smart home networks, and then design a targeted clustering algorithm based on the analysis results. The algorithm can automatically adapt to the home topology and avoid serious signal attenuation caused by communication through walls. Finally, a simulation environment is constructed based on the actual deployment of a smart home company, and the performance is verified. The simulation results show that the algorithm is more suitable for smart home networks with bursty data transmission than the traditional clustering algorithm, and the delay of each device in the network is more balanced.
作者
邓晓平
马路娟
Deng Xiaoping;Ma Lujuan(School of Information and Electrical Engineering,Shandong Jianzhu University,Jinan,Shandong 250101,China)
出处
《计算机时代》
2023年第3期11-16,共6页
Computer Era
基金
山东省重大科技创新工程(2019JZZY010120)。
关键词
智慧家居
异构网络
自组织网络
分簇算法
smart home
heterogeneous network
adhoc network
clustering algorithm
