Hybrid cooperation for machine-to-machine data collection in hierarchical smart building networks

作者：Luan, Xi^*; Zheng, Zijie; Wang, Tianyu; Wu, Jianjun; Xiang, Haige

来源：IET Communications, 2015, 9(3): 421-428.

DOI：10.1049/iet-com.2014.0324

• intelligent networks
• game theory
• building management systems
• cooperative communication
• wireless sensor networks
• data acquisition
• coalitional game theory
• subband allocation
• bandwidth constraints
• theoretical analysis
• hierarchical network structure
• SBN
• intelligent networks
• M2M communication
• machine-to-machine communication
• hierarchical smart building networks
• machine-to-machine data collection process
• hybrid cooperation

Machine-to-machine (M2M) communication plays an important role in various kinds of intelligent networks. In this study, a hybrid cooperation scheme for data collection in hierarchical smart building networks (SBN) is proposed under the framework of M2M communications. The hierarchical network structure means that the data collection process is carried out via multi-layer communications. In the first layer, smart metres organise themselves into clusters and send information to the cluster-heads. Then all cluster-heads forward the received information to the base station automatically in the second layer. In particular, the roles of cluster-head can be acted by either fixed nodes or user terminals in the building, and this endow a hybrid cooperation mode to the data collection process. To construct the network structure and utilise the resources efficiently, the authors first provide some theoretical analysis on the influence of network structure and bandwidth constraints. Then a distributed scheme for joint structure formation and subband allocation is proposed based on coalitional game theory. Furthermore, for the feasibility of this scheme in practical applications, some improvements of the proposed scheme have also been made at last. The advantages of the proposed scheme are verified by simulation results.

• 出版日期2015-2-12
• 单位北京大学