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

Wireless sensor network node adaptive power control system and method based on fuzzy logic

A wireless sensor and fuzzy logic technology, applied in power management, network topology, wireless communication, etc., can solve problems such as interference, energy waste, data real-time waste, packet loss, etc.

Inactive Publication Date: 2011-05-18
BEIJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, from the perspective of a single node, after clustering, what power should be used for communication between the cluster head and the cluster head, and between the cluster head and the sink node is a hot and difficult point in existing research.
In most cases, wireless sensor network nodes send data packets with fixed power, which has certain defects: on the one hand, if nodes send data packets with fixed high power, it will cause great interference and energy waste; On the one hand, if the node sends data packets with fixed low power, it is easy to cause packet loss, and the retransmission after packet loss reduces the real-time performance of data and wastes 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
  • Wireless sensor network node adaptive power control system and method based on fuzzy logic
  • Wireless sensor network node adaptive power control system and method based on fuzzy logic
  • Wireless sensor network node adaptive power control system and method based on fuzzy logic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0064] In order to simulate the actual situation, the domain of discourse of the input variable LQI is defined as [60, 180], and the domain of discourse of the output variable ADJ is [-30, 30]. In practical applications, the scope of the domain of discourse should be determined according to the wireless environment where the sensor nodes are located, and the actual measurement. The values ​​defined here are only estimated values.

[0065] When determining the input membership function, the present invention conducts certain investigations on Gaussian functions, trigonometric functions, and trapezoidal functions, and finally adopts the joint membership function because it can obtain a longer network survival time. In the present invention, the μ corresponding to the language variable VBAD (very bad) in (ξ( 1 ) as a Gaussian function, and the μ corresponding to the language variable BAD (difference) in (ξ( 2 ) as a trigonometric function, and the μ corresponding to the langua...

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 introduces fuzzy logic in the adaptive power control of the wireless sensor network node, thus reducing the node energy consumption and prolonging the network lifetime. The system consists of a transmitting node and a receiving node which are shown in an appended drawing, wherein the transmitting node contains a transmitting module 101, a historical power module 102 and an adjusted value receiving module 103; the transmitting module transmits data packets according to the reference transmitting power provided by the historical power module; the adjusted value receiving module is used to update the historical power level in real time; the receiving node contains a receiving module 104, a QoS extraction module 105, a fuzzy computing module 106 and an adjusted value feedback module 107; the receiving module works in the physical layer and is used to receive signals; the QoS extraction module is used to collect the QoS parameter of a receiving terminal; the fuzzy computing module uses a fuzzy logic controller to calculate the adjusted value and submits the calculation result for the adjusted value feedback module; and the adjusted value feedback module is used to return the power adjusted value to the transmitting node.

Description

technical field [0001] The invention relates to the field of wireless sensor networks, and especially refers fuzzy logic to the adaptive power control of wireless sensor network nodes. Background technique [0002] With the rapid development of Micro-Electro-Mechanical System (MEMS, Micro-Electro-Mechanism System), System on Chip (SOC, System on Chip), wireless communication and low-power embedded technology, Wireless Sensor Networks (WSN, Wireless Sensor Networks) Born, and with its low power consumption, low cost, distributed and self-organizing characteristics, it has been widely used in military, aviation, anti-terrorism, explosion-proof, disaster relief, environment, medical, health care, home, industry, commerce and other fields . [0003] The wireless sensor network is composed of a large number of miniature sensor nodes deployed in the monitoring area, the energy of the nodes is limited and the communication medium is shared. This requires that on the premise of me...

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): H04W40/10H04W52/26H04W84/18
CPCY02B60/50Y02D30/70
Inventor 蒋挺孙学斌吴鹏杰赵成林施炯钟怡
Owner BEIJING UNIV OF POSTS & TELECOMM
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