Immune system-inspired routing recovery method of energy-harvesting wireless sensor networks

Abstract

The invention relates to an immune system-inspired routing recovery method of energy-harvesting wireless sensor networks. K disjoint routes are established between a source node and a sink. One route is used by a network. The other k-1 routes are backup routes. Route fails resulting from the nodes of which energy is used up is taken as antigens; the corresponding recovery routes are taken as antibodies; a detection module, a response module, a learning module and a memory module simulate a working mechanism of eliminating the antigens by an immune system. A clone selection algorithm is used in the learning module. Clone and variation mechanisms are modified based on the hormonal regulation mechanism of an endocrine system. Through simulation of cooperative work of each module of the immune system, according to the ISRRA, a fail route recovery strategy can be effectively provided; the method is especially applicable to the condition that same fail routes happen repeatedly in the EH-WSNs. Moreover, in the fault route recovery process, the quality of the backup routes is estimated and whether to replace the backup routes is judged by the ISRRA, and the quality of the routes is ensured.

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...

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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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