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

Abstract

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.

Robustness analysis of multi-sink placement in wireless sensor networks

“…In most existing WSN cascade models, the capacity of components is positively correlated with their initial load [10,11]. However, in actual WSN, due to large-scale unified deployment, the capacity of each component usually has the same configuration.…”

Cascading Robustness Analysis of Wireless Sensor Networks with Varying Multisink Placement

“…In actual WSNs, the capacity of a sensor, which characterizes the maximum load this node can manipulate, is limited by its buffer size. The existing cascading models usually assume that the capacity is directly related to the initial load of the node [10,13]. However, in most real-life cases, WSNs cannot customize the capacity of sensors according to their initial load since the hardware configuration of sensors in the same network is identical under the unified large-scale deployment [30].…”

“…Complex network theory is now a powerful tool used in the research on the robustness of realistic network systems [6,7]. By abstracting WSNs into graphs, researchers have proposed various models to describe the cascading failure process [8][9][10][11][12][13]. Based on these models, it has been widely proved that the cascading performance of WSNs largely depends on the underlying network topology and the routing scheme implemented.…”