Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-level heterogeneous wireless sensor network clustering routing method based on K-means clustering and ant colony optimization

A k-means clustering and wireless sensor technology, applied in network topology, wireless communication, advanced technology, etc., can solve the problems of limited energy consumption, high energy consumption of the network, and uneven distribution of cluster domains, etc., to prolong the survival time , the effect of improving the efficiency of use

Active Publication Date: 2015-11-18
GUILIN UNIV OF ELECTRONIC TECH
View PDF2 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are a large number of uncertain factors in the way of selecting cluster heads and establishing cluster domains through random numbers and predicted energy, which leads to unstable number of cluster heads and uneven distribution of cluster domains, which makes the network consume more energy and reduces the energy utilization of the network. Efficiency and Survival Time
[0008] 2) When the cluster head communicates with the base station, the single-hop method is used, which will cause the energy consumption of the cluster head far away from the base station to be too fast; some protocols use a multi-hop method, but due to inappropriate routing selection, it limits its ability to reduce energy consumption Effect

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-level heterogeneous wireless sensor network clustering routing method based on K-means clustering and ant colony optimization
  • Multi-level heterogeneous wireless sensor network clustering routing method based on K-means clustering and ant colony optimization
  • Multi-level heterogeneous wireless sensor network clustering routing method based on K-means clustering and ant colony optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0044] The multi-level heterogeneous wireless sensor network clustering routing protocol based on K-means clustering and ant colony algorithm proposed by the present invention adopts the same network model as the DEEC protocol, and the operation process of the protocol is divided into three stages: the creation of the cluster domain, Inter-cluster routing selection and data transfer.

[0045] 1. Multi-level heterogeneous network model construction

[0046] Assuming that N sensor nodes with different initial energies are evenly deployed in a square area with side length M, the sensor nodes collect data periodically and have the following properties:

[0047] (1) The sensor nodes in the network each have a unique identification number (ID), and the nodes cannot be moved;

[0048] (2) The location of the base station is fixed, the energy is not lim...

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 provides a clustering routing protocol based on K-mean clustering and ant colony optimization (ACO), i.e., a K-mean clustering and ACO optimal routing (KCAOR) protocol. In multi-level heterogeneous wireless sensor network environment, the best cluster domain number in a monitoring region is determined by an optimal cluster first-number formula firstly, and nodes in a network are then naturally gathered into corresponding cluster domains through adoption of a K-means clustering method; a uniform optimization strategy of the cluster domains is provided, uniform distribution of network energy consumption is achieved, and cluster heads are voted according to residual energy values of the nodes in clusters then; multihop optimal routes between the cluster heads and base stations are determined through adoption of the ant colony optimization, and energy consumption between the cluster heads is balanced; and, in a tail cycle of data transmission, through increasement of node state packages, the base stations can master an operation condition of the network in real time, and optimization of the protocol is achieved. The energy consumption of the network can be effectively balanced, survival time is prolonged, and performance of the wireless sensor network is improved.

Description

technical field [0001] The invention relates to a network routing protocol, in particular to a wireless sensor network clustering routing method in a multi-level heterogeneous environment. Background technique [0002] Wireless sensor networks (Wireless Sensor Networks, WSNs) are composed of a large number of sensor nodes and base stations randomly distributed in the monitoring area, and have been widely used in national defense security, industrial control, environmental monitoring, emergency rescue and scientific exploration, etc. Capability, communication capability, computing capability and initial energy can be divided into heterogeneous network and homogeneous network. Heterogeneous network is composed of nodes with different performances; homogeneous network is composed of nodes with the same performance. Sensor nodes are usually powered by batteries and mostly work in harsh environments or places where humans are not easy to reach, so the primary purpose of wireless ...

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): H04W40/02H04W40/10H04W84/18
CPCH04W40/02H04W40/10H04W84/18Y02D30/70
Inventor 温佩芝许晨蛟邵其林张文新
Owner GUILIN UNIV OF ELECTRONIC TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products