Cascading Failure Analysis of Hierarchical Industrial Wireless Sensor Networks under the Impact of Data Overload

Machines

Qing Gao¹  Hongchi Lv²  Xin Zhang²  Baoping Jiang²  Zhengtian Wu² 

[1] School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215000, China;

关键词: hierarchical architecture;    industrial wireless sensor networks;    cascading failure;    data overload;   

DOI  :  10.3390/machines10050380

来源: DOAJ

【 摘 要 】

As industrialization accelerates, the industrial sensor network environment becomes more complex. Hierarchical multi-cluster wireless sensing network topology is generally used due to large-scale industrial environments, harsh environments, and data overload impact. In industrial wireless sensor networks, the overload of some nodes may lead to the failure of the whole network, which is called cascading failure. This phenomenon has incalculable impact on industrial production. However, cascading failure models have mainly been studied for planar structures, and there is no cascading failure model for hierarchical topologies in industrial environments. Therefore, this paper built a cascading failure model for hierarchical industrial wireless sensor networks (IWSNs) for realistic industrial network topologies. By establishing an evaluation mechanism considering the efficiency of the network and the viability of nodes, the network communication efficiency that is not considered in the traditional evaluation mechanism is solved. In addition, aiming at the problem of network topology changes caused by node failure, dynamic load distribution methods (ADD, SLD) are used to improve network invulnerability. Theoretical analysis and experimental results show that the traditional allocation method (SMLD) does not apply in hierarchical topologies; when the general cluster head node capacity is moderate, increasing the capacity of single-hop cluster head nodes can prevent cascading failures more effectively.

【 授权许可】

Unknown