Method of diagnosing wireless sensor network fault based on artificial immunity system

Abstract

The invention discloses a fault diagnosis method based on an artificial immune system in a wireless sensor network. The fault diagnosis is realized by collecting a characteristic data schema of the wireless sensor network and applying the autologous / non-autologous principle of the artificial immune identification. The whole artificial immune system comprises four parts of an immune object, a database, immune detection and immune computing. The immune object consists of characteristic schema data. The data base is used for storing schema data in normal state and known fault state. The immune detection part completes the fault diagnosis and the immune computing part is used for realizing the cloning and the mutation of antibodies, optimizing the distributing space of the antibodies and distinguishing fault types. The method has the advantages of rapid abnormal recognition, good adaptability, dynamic balance and strong information processing capability and can effectively solve difficult diagnosis problems of numerous fault modes, coexistence of numerous fault modes, fault unpredictability, and the like in the wireless sensor network, thus improving the rapidness and the accuracy of the diagnosis.

Description

technical field [0001] The invention relates to a wireless sensor network fault diagnosis method based on an artificial immune system, which belongs to the field of artificial immune system and wireless sensor network fault diagnosis. Background technique [0002] Wireless sensor network (WSNs) is an intelligent network system composed of a large number of freely distributed sensor nodes with computing and communication functions through self-organized cooperative communication to complete specific functions. It has the advantages of high reliability, easy deployment and scalability, and is widely used. It is one of the four high-tech in the 21st century in the fields of national defense and military, security and anti-terrorism, environmental monitoring, traffic management, medical and health, and industrial manufacturing. DARPA of the United States launched the SensIT (Sensor Information Technology) program to establish a network system for monitoring physical quantities s...

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Problems solved by technology

Marzullo proposed the data-centric sensor node fault detection idea for the first time. However, due to the huge number of nodes, the data is easily lost after being attacked, so it cannot be applied in a large-scale sensor network environment; Farinaz proposed a method that consumes a huge The multi-modal sensor node fault detection mechanism at the cost of energy, while the energy of wireless sensor nodes is limited, this mechanism is not suitable for wireless sensor networks; recently, Krishnamachari et al. proposed a sensor based on the shortest path support tree structure Node failure detection method, which judges node performance by judging the characteristics of the cluster head, has a strong dependence on the cluster head node, and it is difficult to implement

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