Distributed failure detection method for wireless sensor network nodes

Abstract

The invention discloses a distributed failure detection method for wireless sensor network nodes, and belongs to the technical field of intersection of a wireless sensor network and distributed calculation. According to the method, the characteristics of temporal correlation and spatial correlation of data acquired by the nodes in the wireless sensor network are fully utilized, namely failures of part of nodes are detected by utilizing the temporal correlation, and for nodes without failures, the statuses of the nodes are determined by exchanging information with adjacent nodes to finally realize the failure detection of the wireless sensor network nodes by utilizing the spatial correlation. The failures of certain types can be detected by directly utilizing the data acquired by the nodes, and in the process, the nodes are not required to exchange the information with the adjacent nodes, so that the energy consumption of the network is reduced. The method is high in failure detection performance and low in energy consumption.

Description

technical field [0001] The invention relates to a node failure detection method of a distributed wireless sensor network, which belongs to the cross technical field of wireless sensor network and distributed computing. Background technique [0002] The wireless sensor network is composed of a large number of sensor nodes deployed in the monitoring area, and forms a multi-hop self-organizing network through wireless communication. Wireless sensor networks can be used in environmental monitoring and protection, medical care, target tracking and military detection and other fields. However, because the sensor nodes themselves are cheap and fragile, the wireless communication links between nodes are unstable and susceptible to interference, and usually need to be directly exposed to the environment, and are easily damaged by physical, chemical and other external forces. At the same time, the nodes are also limited by cost and energy. , so nodes are prone to failure, resulting i...

AI Technical Summary

Problems solved by technology

However, the current algorithms often ignore the energy consumption of the network, and only seek high accuracy and low false positive rate

In fault detection, a node may need to communicate with neighboring nodes multiple times, thus consuming a large amount of energy; some fault detection algorithms consider less fault types, so that when a certain type of specific node faults increase, the fault tolerance of the algorithm will decrease. will be low

For example, due to the influence of hardware characteristics and the environment, some sensor nodes have instantaneous measurement value failures in a short period of time. Once the fault detection algorithm detects such faulty nodes, they will often be mistaken for faulty nodes, thereby increasing the The misjudgment rate of the node is reduced, and the utilization rate of the node is reduced. In fact, this type of node only fails at a certain moment or a few moments. In most of the time, this kind of node is still normal.

In addition, some fault detection algorithms do not make full use of the characteristics of sensor nodes to collect data, but only use the characteristics of spatial correlation of sensor networks to realize fault detection, which makes the complexity of the algorithm higher

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