Extremum disturbed particle swarm optimization based SDWSN energy-balanced routing algorithm

A particle swarm optimization and energy balance technology, applied in the direction of reducing energy consumption, advanced technology, electrical components, etc., can solve problems such as short network survival time, increased network burden, and energy consumption

Active Publication Date: 2018-09-21
CHONGQING UNIV OF POSTS & TELECOMM
View PDF3 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional WSN routing protocols use distributed algorithms to run on nodes. The clustering and routing selection process requires a large amount of information exchange, which increases the network burden and consumes a lot of energy. However, routing protocols in software-defined WSNs such as NWPSO-based , SDUCR's cluster head energy consumption is unbalanced, resulting in low energy utilization, short network survival time and other issues

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
  • Extremum disturbed particle swarm optimization based SDWSN energy-balanced routing algorithm
  • Extremum disturbed particle swarm optimization based SDWSN energy-balanced routing algorithm
  • Extremum disturbed particle swarm optimization based SDWSN energy-balanced routing algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0068] 1 Network model and energy consumption model

[0069] 1.1 Network Model

[0070] Network model such as figure 1 As shown, it consists of a sensor control server CS (sensor control server) implemented at the base station and a group of software-defined sensor nodes randomly distributed in the monitoring area, and has the following properties:

[0071] 1) Consider a group of sensing objects such as temperature, humidity, etc., which are randomly distributed in the monitoring area of ​​SDWSN. Each software-defined sensor node is equipped with multiple sensors with different sensing capabilities, and can perform multiple tasks at the same time; 2) The sensor control server can assign corresponding programs to the sensor nodes to reprogram some sensor nodes according to different tasks; 3) Each sensor node has the same initial energy, ...

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 an extremum disturbed particle swarm optimization based SDWSN energy-balanced routing algorithm and belongs to the technical field of wireless sensor networks. The algorithm comprises the steps of firstly selecting a cluster head by giving consideration to residual energy, position and energy balanced information of nodes and utilizing improved extremum disturbed particleswarm optimization algorithm, and dividing the whole network dynamically into clusters different in size based on a distance from the nodes to the base station, node residual energy and the number ofneighbor nodes; and secondly, saving energy consumption during cluster division by adopting a way of performing global clustering and k local cluster head updating per each period; and finally, building a shortest routing tree based on factors such as link energy consumption, node residual energy and in-cluster node number by adopting a centralized mode by a sensor control server when multi-hop routing is built. The extremum disturbed particle swarm optimization based SDWSN energy-balanced routing algorithm can efficiently save energy and balanced network energy consumption and prolong the life circle of the network.

Description

technical field [0001] The invention belongs to the field of routing protocols in wireless sensor networks, and relates to a SDWSN energy balance routing algorithm based on disturbance particle swarm optimization. Background technique [0002] Traditional wireless sensor networks (WSN, wireless sensor networks) are mostly dedicated to the scenario of a single sensing task. After the network deployment of this application-specific WSN, its node behavior and the network functions provided by these nodes are difficult to change, resulting in Low utilization of network resources, difficult policy changes, and difficult network management. Software-defined network (SDN, software-defined network) is a new type of network architecture, which decouples the traditional network architecture into a three-layer separation architecture of application, control and infrastructure, thus bringing network application programmable, centralized control, Advantages such as less network equipmen...

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): H04W40/08H04W40/10
CPCH04W40/08H04W40/10Y02D30/00Y02D30/70
Inventor 胡敏汪腾飞黄宏程
Owner CHONGQING UNIV OF POSTS & TELECOMM
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