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Energy-saving transmission for wireless sensor network based on secondary exponential smoothing forecasting

A quadratic exponential smoothing and wireless sensor technology, applied in network topology, wireless communication, energy-saving ICT, etc., can solve problems such as low event reception rate and complexity

Active Publication Date: 2014-09-17
ZHEJIANG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] However, the sleep energy-saving method of the above-mentioned prior art is relatively complicated, and the event reception rate is low

Method used

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  • Energy-saving transmission for wireless sensor network based on secondary exponential smoothing forecasting
  • Energy-saving transmission for wireless sensor network based on secondary exponential smoothing forecasting
  • Energy-saving transmission for wireless sensor network based on secondary exponential smoothing forecasting

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Embodiment Construction

[0040] The present invention will be further described below with reference to the accompanying drawings.

[0041] The operating state of a node is divided into two categories: active state and dormant state. Among them, the active state includes three states of sending, receiving, and idle. Properly adjusting the sleep and active states of nodes can reduce energy consumption. An ideal node sleep strategy should have two characteristics: first, it can dynamically adjust the length of its sleep time according to the characteristics of the data traffic of the sensor network, that is, the sleep time has adaptive characteristics; second, it maintains a low event missed detection rate. That is, a higher event reception rate.

[0042] like Figures 1 to 3 As shown, a wireless sensor network energy-saving transmission method based on quadratic exponential smoothing prediction of the present invention can adapt to the occurrence time of the event, and adjust the sleep time and wake...

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Abstract

The invention discloses an energy-saving transmission for a wireless sensor network based on secondary exponential smoothing forecasting. The wireless sensor network comprises a sampling node A0 and a relay node A1; and the method comprises a step of operating the sampling node and a step of operating the relay node, wherein the relay node A1 is processed via single exponential smoothing and secondary exponential smoothing forecasting. The method has the main beneficial effects that the energy consumption in the transmission of the nodes under the wireless sensor network is reduced, and the receiving node has relatively high event receiving rate under the caching of the sampling node.

Description

technical field [0001] The present invention relates to the technical field of energy saving in wireless sensor networks, in particular to a method for dormancy of wireless sensor network nodes based on a prediction cache mechanism. Background technique [0002] Wireless sensor networks usually use the IEEE 802.15.4 standard and are widely used in environmental observation, smart home, medical care, traffic monitoring and other fields. In the IEEE 802.15.4 standard, network equipment has the characteristics of low energy consumption, low data transmission rate, short communication distance, and short data packet length. Since the nodes in the sensor network are usually powered by batteries, their energy is very limited, so how to reduce the energy consumption of the nodes and prolong the network survival time is a hot research topic of scholars at home and abroad. [0003] The nodes in the wireless sensor network are mainly composed of sensor module, processor module, wirel...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W52/02H04W84/18
CPCY02B60/50
Inventor 朱艺华朱益军李燕君池凯凯
Owner ZHEJIANG UNIV OF TECH