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

Sensor network real-time routing method based on data-driven link estimation

A sensor network, data-driven technology, applied in advanced technology, electrical components, sustainable buildings, etc., can solve the problems of data transmission delay increase, implosion, overlap, etc., to improve real-time performance and reduce network energy consumption , Optimize the effect of the transmission path

Inactive Publication Date: 2011-04-27
INST OF COMPUTING TECH CHINESE ACAD OF SCI
View PDF2 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This algorithm has serious disadvantages: implosion (a node receives multiple copies of the same data from neighbor nodes almost at the same time), overlap (a node receives almost the same data sent by multiple nodes monitoring the same area), low resource utilization (The node does not consider its own resource limitations, and forwards data in any case)
However, the single-cluster method makes the cluster head a key point, and its failure will lead to routing failure; and all nodes are required to have the ability to communicate with the sink node; if the chain is too long, the data transmission delay will increase, which is not suitable for real-time applications; The algorithm requires nodes to know the positions of other nodes, and the overhead is very high, such as Figure 5 Indicates the data transmission of the PEGASIS algorithm along the chain

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
  • Sensor network real-time routing method based on data-driven link estimation
  • Sensor network real-time routing method based on data-driven link estimation
  • Sensor network real-time routing method based on data-driven link estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0113] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.

[0114] Such as Figure 6 Shown is the structure diagram of the real-time routing protocol method based on data-driven link estimation of the present invention; the protocol structure is divided into the following parts:

[0115] Protocol upper layer interface, geographic location awareness, real-time path processing, and data-driven link estimation.

[0116] The upper layer interface part of the protocol implements the interface between the routing protocol and the upper layer protocol, including receiving the data to be transmitted by the upper layer and transmitting the received data to the upper layer.

[0117]The geolocation-aware portion determines its own geolocation information.

[0118] The real-time path processing part is the main routing processing module, which submits the data m...

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 sensor network real-time routing method based on data-driven link estimation, which comprise the following steps of: 1, perceiving geographical position information by a current node, and informing the geographical position information of a neighbor node; 2, when data are sent, generating a data message and a destination node, and when the data message is forwarded, acquiring the data message and the destination node from a media access control (MAC) layer; 3, calculating the distance from the current node to the destination node; 4, calculating the distance from the current node to the destination node in a neighbor set to generate a hopping candidate set; 5, calculating path speed from the current node to the node in the hopping candidate set; 6, selecting one node as a hopping node; 7, writing a node clock value into a data frame of the MAC layer; 8, sending the data message to the MAC layer; and 9, updating the hop delay, delivery rate and energy consumption of the corresponding nodes in the neighbor set. By the method, the real time of the transmission of network data is improved, and the energy consumption of the network is reduced.

Description

technical field [0001] The invention relates to the field of real-time routing protocols for sensor networks, in particular to a real-time routing method for sensor networks based on data-driven link estimation. Background technique [0002] Wireless sensor network is a kind of wireless self-organizing network. Compared with the traditional network, it has the following characteristics: it is composed of a large number of sensor nodes; the nodes are powered by batteries, and the energy, computing power, storage space and communication capacity are limited; quick. At present, there are a lot of research contents in the field of wireless sensor network, among which the routing protocol, as the core technology of wireless sensor network, has become a hot research topic at home and abroad. The wireless sensor network routing protocol is responsible for forwarding the data message from the source node to the destination node through the network. It mainly includes two functions:...

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): H04W40/20H04W40/22
CPCY02B60/50Y02D30/70
Inventor 刘强游绍辉崔莉
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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