Supercharge Your Innovation With Domain-Expert AI Agents!

Non-uniform clustering low-power-consumption multi-hop routing control method based on fuzzy logic

A non-uniform clustering and fuzzy logic technology, applied in electrical components, wireless communication, network topology, etc., can solve the problems of wireless sensor energy consumption and weak network adaptability

Active Publication Date: 2021-06-25
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a non-uniform clustering low-power multi-hop routing control method based on fuzzy logic. The technical problems to be solved are the energy consumption of wireless sensors and the weak adaptability of the existing energy-saving routing control methods to the network.

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
  • Non-uniform clustering low-power-consumption multi-hop routing control method based on fuzzy logic
  • Non-uniform clustering low-power-consumption multi-hop routing control method based on fuzzy logic
  • Non-uniform clustering low-power-consumption multi-hop routing control method based on fuzzy logic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0029] A non-uniform clustering low-power multi-hop routing control method based on fuzzy logic in the present invention consists of four parts, namely a system model, a surviving node state monitor, non-uniform clustering based on fuzzy logic and routing selection based on fuzzy logic. The system model provides a model for protocol implementation, including network model, energy model and network topology; the surviving node status monitor provides the base station with information on the remaining energy of each node in the network and the distribution of nodes; non-uniform clustering based on fuzzy logic is based on network For energy consumption, the AHP based on fuzzy logic is used to dynamically adjust the cluster size, and the non-uniform competition radius is used to make the number of cluster members close to the base station relatively small, so as to achiev...

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 discloses a non-uniform clustering low-power-consumption multi-hop routing control method based on fuzzy logic, and aims to solve the technical problems of energy consumption of a wireless sensor and weak adaptive capacity of an existing energy-saving routing control method to a network. A fuzzy logic algorithm is adopted, the clustering size is dynamically adjusted according to the network energy consumption condition and node density information, and energy consumption of cluster heads is effectively balanced; and a routing node with an optimal evaluation value is selected according to node energy and position information, and a routing path is determined. The concept of a network survival node state detector is introduced to monitor the state of the survival node and prolong the survival time of the network. The protocol has high adaptability, the network scale is more flexible, and the protocol is suitable for wireless sensor networks of various scales.

Description

technical field [0001] The invention relates to a non-uniform clustering low-power multi-hop routing control method NCMBLF based on fuzzy logic, belonging to the field of wireless sensor network routing control methods. The protocol uses fuzzy logic-based analytic hierarchy process to adjust the cluster size by dynamically adjusting the node competition radius according to the node energy consumption and density information; select the routing node with the optimal evaluation value according to the node energy density, location and other information, Determine the routing path. Background technique [0002] Wireless sensor networks have become a research hotspot in recent years, and have been widely used in many aspects such as environmental monitoring, logistics, forest fire prevention, and smart home. The shortcomings of sensor nodes powered by batteries and limited energy determine that reducing energy consumption and prolonging life have become the primary goals in the ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/10H04W40/20H04W40/32H04W84/18
CPCH04W40/10H04W40/20H04W40/32H04W84/18Y02D30/70
Inventor 许峰侯雅婷吕昕武淦
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com