Multi-biological inspiration-based wireless sensor network adaptive route decision method

Abstract

The invention relates to a multi-biological inspiration-based wireless sensor network adaptive route decision method comprising three parts of a trust evaluation mechanism, a route decision, and a route adaptive adjusting method. To be specific, the trust evaluation mechanism carries out credibility evaluation on a neighbor of each node and stores the evaluation information to a trust evaluation list of the node itself, wherein the information is used as one of determinants of the route decision. When the node needs to send data to a convergence node, the route decision selects a proper route for the node; and when no proper route exits, a route finding unit searches a route leading to the convergence node. And when the node needs to forward data to the convergence node, a route forwarding unit selects a proper next-hop node for forwarding; and when two or more than two routes can be selected, a route selection unit selects an optimum route according to a physarum algorithm. According to the invention, credibility evaluation and route decision of a sensor node can be realized; and a route decision parameter can be adjusted according to a network state and thus the adaptive adjustment of the route decision can be realized.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a wireless sensor network adaptive routing decision-making method inspired by multiple organisms. Background technique [0002] Routing decision refers to the selection of a channel for transmitting information from a source node to a destination node through the network, and at least one intermediate node. Routing works at the network layer of the OSI reference model. [0003] A wireless sensor network is an autonomous wireless network that has no pre-deployed infrastructure such as routers, base stations, etc. The nodes of the wireless sensor network have the functions of transaction processing and router at the same time, that is, its nodes can not only sense the surrounding events of interest (temperature, humidity, image, sound, etc.), but also help other nodes forward data to the sink node. Wireless sensor networks are characterized by node mobility, limited...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above-mentioned efficiency problem caused by solving one or more aspects of routing characteristics through a single model, the present invention provides a wireless sensor network adaptive routing decision-making method based on multi-biological inspiration, which can realize the trustworthiness of sensor nodes according to the immune algorithm. Realize routing decision-making based on perceptual ant colony algorithm and chamomile algorithm, and can adjust routing decision-making parameters according to network status to realize adaptive adjustment of routing decision-making

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