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

Energy balance clustering routing algorithm applied to in-vivo nano-network

A technology of energy balance and nano-network, applied in the direction of reducing energy consumption, network topology, advanced technology, etc., can solve the problems of short communication distance and inability to adapt to classical routing algorithms, so as to prolong the life cycle and reduce the possibility of network paralysis , the effect of balancing energy consumption

Pending Publication Date: 2019-08-27
TONGJI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a clustering routing algorithm with balanced energy consumption, aiming at the problem that the classical routing algorithm cannot be adapted to the in vivo nano sensor network with dense node deployment, short communication distance and limited node energy

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
  • Energy balance clustering routing algorithm applied to in-vivo nano-network
  • Energy balance clustering routing algorithm applied to in-vivo nano-network
  • Energy balance clustering routing algorithm applied to in-vivo nano-network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] The specific flow chart of the method is as follows figure 2 shown, including the following steps:

[0013] Step 1: First, take the control node (Nano Control, NC) as the center of the circle, and the layer radius is nr / 2, and layer the entire network, where r is the communication radius of the node, and n is the number of layers to be divided. The benefit of this layered algorithm is that the transmission range of each nanosensor can span adjacent layers. After receiving the broadcast signal from the NC, the nanosensors calculate their distance from the NC and divide them into corresponding layers, as shown in the attached figure 1 shown.

[0014] Step 2: Select the cluster head according to the remaining energy of the nodes in each layer, and each candidate node will multicast its competitiveness to the nodes in the same layer, as shown below

[0015]

[0016] In the formula, E resk is the remaining energy of node k, E max is the maximum energy of node k, acc...

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 an energy balance clustering routing algorithm applied to an in-vivo nano-sensor network, aiming at solving the problems of limited node computing communication capability, lessenergy storage and shorter network life cycle in the in-vivo nano-sensor network. According to the energy balance clustering routing algorithm (EBCR), a new hierarchical clustering mode is used, thenano nodes can transmit the data to the cluster head only through one hop in the cluster, the data transmission distance of the nodes in the cluster is shortened, the energy load of the nodes in the cluster is reduced, and meanwhile the number of the nodes in the cluster is reduced. In the cluster head updating process, nodes with more residual energy are preferentially selected as cluster heads,so that the occurrence probability of dead nodes is reduced. For the communication between the cluster heads, a link cost function is established, and the distance and the channel quality are considered in the compromise when the next hop node is selected, so that the transmission energy consumption is further reduced.

Description

technical field [0001] The invention relates to the routing technology of the nanometer wireless sensor network in the body, in particular to an energy-saving routing algorithm based on hierarchical clustering. Background technique [0002] Due to the extremely small size (generally 8 μm × 8 μm × 3 μm) and good biocompatibility of nanonodes, nanonetworks are very attractive and important technologies for the modern biomedical field. Nano-nodes can detect biological indicators of the human body, such as intraocular pressure after implantation in the human eye, so that eye diseases such as glaucoma can be diagnosed at an early stage. If the nanonodes are deployed in bone, bone growth can be monitored in patients, thereby reducing their likelihood of developing osteoporosis. The biggest advantage of the nanometer wireless sensor network is that it can detect various physiological indicators of patients in real time without affecting the normal life of patients. Therefore, nan...

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): H04W40/10H04W40/32H04W52/02H04W84/18
CPCH04W40/10H04W40/32H04W52/0203H04W84/18Y02D30/70
Inventor 徐娟蒋娇龙张妍
Owner TONGJI UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com