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

A technology of wireless sensor network and decision-making method, applied in the field of wireless sensor network adaptive routing decision-making

Active Publication Date: 2014-05-28
HENAN QUNZHI INFORMATION TECH
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-biological inspiration-based wireless sensor network adaptive route decision method
  • Multi-biological inspiration-based wireless sensor network adaptive route decision method
  • Multi-biological inspiration-based wireless sensor network adaptive route decision method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076]As shown in the figure, a wireless sensor network adaptive routing decision-making method based on multi-biological inspiration. The decision-making and routing adaptive adjustment methods are composed of three parts. The trust evaluation mechanism is composed of neighbor monitoring, birth and death process, self-discipline evolution and trust evaluation. The trust evaluation mechanism evaluates the credibility of each node's neighbors and stores In the trust evaluation table of the node itself, as one of the determining factors of the routing decision, when the node needs to send data to the sink node, the routing decision selects a suitable route for it. The algorithm looks for the route to the sink node, and calculates the link credibility and link energy of the found path. When the node needs to forward data to the sink node, the routing forwarder selects a suitable next-hop node for forwarding. There are 2 When more than one or more routes are available for selectio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04W40/02H04W40/24
CPCY02D30/70
Inventor 张明川郑瑞娟吴庆涛宋晓莉魏汪洋
Owner HENAN QUNZHI INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap