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Energy saving method based on wireless sensor network MAC (media access control) protocol

A wireless sensor network and protocol technology, applied in the field of wireless sensor network, can solve the problems of reduced throughput, fixed listening time, unchangeable, etc., and achieve the effects of high efficiency, energy saving, and control overhead reduction.

Active Publication Date: 2014-12-17
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the SMAC protocol can effectively reduce the idle listening time and save power, the listening time is fixed and has nothing to do with the traffic in the network and the remaining energy of the nodes.
When the traffic in the network is small, there may be unnecessary listening time; when the traffic in the network is large, the listening time may be too short, resulting in reduced throughput
Although the length of the listening time is defined by the user, it can only be defined at the initial stage of network deployment and cannot be changed later, which cannot adapt to changes in network traffic and node energy

Method used

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  • Energy saving method based on wireless sensor network MAC (media access control) protocol
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  • Energy saving method based on wireless sensor network MAC (media access control) protocol

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Embodiment Construction

[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0047] The working cycle of sensor nodes is divided into figure 1 shown.

[0048] Input: E: the remaining energy of the node, T: the number of times the channel is busy in this round;

[0049] Output: D: the duty cycle of the next round;

[0050] The specific algorithm steps of the fuzzy control dynamic adjustment duty cycle mechanism are as follows:

[0051] (1) At the end of each round, collect the remaining energy of the node and the number of times the channel is busy in this round;

[0052] (2) According to figure 2 , image 3 The membership degree graph shown is fuzzy for E and T;

[0053] according to figure 2 , when the remaining energy is 0-22.5%, the fuzzy value is L, when the remaining energy is 22.5%-77.5%, the fuzzy value is M, and when the remaining energy is 77.5%-100%, the fuzzy value is H.

[0054] according to ima...

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Abstract

The invention discloses an energy saving method based on a wireless sensor network MAC (media access control) protocol. The energy saving method aims to solve the problem of energy consumption of sensor nodes. According to the energy saving method, a fuzzy control method is adopted, counters for making statistics on monitored channel busy times are arranged, and network flow is assessed by channel busy times in one turn, so that node energy and network flow change are reflected on operating and hibernating time of the nodes as accurately as possible on the premise that establishment of a complicated mathematical model is not required; a 'handshaking notification' mechanism is adopted for reserving a channel and notifying other nodes of channel occupying time, so that the other nodes hibernate as quick as possible; by the aid of a 'loser delay competition' mechanism, success rate of 'handshaking notification' is guaranteed, and energy saving and high efficiency are given consideration to.

Description

technical field [0001] The invention relates to an energy-saving method for a MAC layer communication process applicable to a WSN, and belongs to the technical field of wireless sensor networks. Background technique [0002] Fuzzy Logic Control (Fuzzy Logic Control) is a computer numerical control technology based on fuzzy set theory, fuzzy language variables and fuzzy logic reasoning. Fuzzy control is essentially a nonlinear control, which belongs to the category of intelligent control. The architecture of the fuzzy control system includes five main parts, namely: defining variables, fuzzification, knowledge base, logical judgment and defuzzification: [0003] [1]. Define variables, that is, determine the observed status of the program and consider the actions of control. [0004] [2]. Fuzzification, converting the input value to the value of the domain of discourse in an appropriate proportion, using colloquial variables to describe the process of measuring physical quan...

Claims

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Application Information

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IPC IPC(8): H04W52/02H04W80/02H04W84/18
CPCY02D30/70
Inventor 孙知信房旋宫婧骆冰清
Owner NANJING UNIV OF POSTS & TELECOMM
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