A Rechargeable Wireless Sensor Network Immune Routing Restoration Method

Abstract

The invention relates to a rechargeable wireless sensor network immune routing repair method, k disjoint routes are established between the source node and the sink node, one of the routes is used by the network, and the other k-1 are backup routes, which will be used by the nodes The routing failure caused by the energy-depleted node is used as an antigen, and the corresponding repair routing is used as an antibody; the corresponding detection module, response and learning module, and memory module are used to simulate the working mechanism of the immune system to eliminate antigens. In the learning module, a clonal selection algorithm is used. The cloning and mutation mechanism has been improved based on the hormone regulation mechanism of the endocrine system. By simulating the cooperative work of various modules of the immune system, ISRRA can effectively provide a repair strategy for faulty routes, especially suitable for the situation where the same faulty route occurs multiple times in EH‑WSNs. In addition, in the process of repairing the faulty route, ISRRA also evaluates the quality of the backup route and judges whether to replace the backup route, so as to ensure the quality of the route.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and relates to a rechargeable wireless sensor network immune routing repair method, in particular to a rechargeable wireless sensor network and an improved immune algorithm routing based on a clone selection algorithm based on the hormone regulation mechanism of the endocrine system Repair method. Background technique [0002] The sensor nodes of wireless sensor networks (WSNs) are generally powered by batteries and are generally difficult to replace, so the limited battery capacity is an important bottleneck for WSNs to maintain long-term continuous work. In order to prolong the life cycle of WSNs, a lot of work has been carried out and various energy-efficient network algorithms have been designed. However, as long as the battery energy is limited, the energy exhaustion of nodes will be inevitable. In order to overcome this shortcoming, energy harvesting technology has been a...

AI Technical Summary

Problems solved by technology

The above algorithms have proposed various effective repair strategies for the faults in WSNs, but they only consider the repair of faulty routes, and do not consider routing fault tolerance. At the same time, they study battery-powered WSNs, which are not suitable for EH-WSNs

In addition, for heterogeneous wireless sensor networks with resource-rich super nodes, Hu et al. proposed a fault-tolerant routing repair strategy ICPSOA, but this algorithm is not suitable for EH-WSNs, mainly because in ICPSOA, the energy of nodes is limited, while the energy of nodes in EH-WSNs is collectable and changeable

In addition, the quality of k disjoint routes is not considered in ICPSOA

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