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Service-oriented wireless sensor network energy management middleware and working method

A wireless sensor and energy management technology, applied in power management, wireless communication, data exchange network, etc., can solve the problems of lack of unified energy consumption and energy allocation and scheduling standards, increase difficulty, reduce work efficiency, etc., to facilitate secondary development and promotion, reducing R&D costs and cycles, strong reusability and modularity

Inactive Publication Date: 2013-11-27
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented describes methods for managing power usage in a wireless sensor system that extends its lifespan without requiring frequent maintenance or replacement. It also includes features like multiplexed sensors with different layers inside them, smart devices integrated into these systems, and adaptive control capabilities to optimize their performance based upon environmental factors such as temperature and humidity levels. Overall, this innovation improves the overall effectiveness and reliance provided through long battery life.

Problems solved by technology

This patented describes two technical problem areas related with wirelessly sensor networks - limited battery life caused by repeated tasks performed by individual components called nodes without changing their status from sleep mode into active operation when needed again after they were awakened. Different types of applications require varying levels of energy usage based upon environmental settings like temperature range, humidity level, etc., making them challenging to manage properly over multiple environments. Additionally, current methods either involve complex programming cycles or rely heavily on external resources like memory systems, leading to reduced performance due to frequent updates.

Method used

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  • Service-oriented wireless sensor network energy management middleware and working method
  • Service-oriented wireless sensor network energy management middleware and working method
  • Service-oriented wireless sensor network energy management middleware and working method

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Embodiment Construction

[0024] In order to make the purpose, technical solution and technical advantages of the present invention more intuitive and clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] As mentioned above, the practical application of the existing common wireless sensor network is mainly composed of two parts: the data acquisition network and the monitoring center. Its architecture and working principle are as follows: figure 1 shown. There are a large number of data acquisition nodes and some gateway nodes distributed in the data acquisition network. For different wireless sensor network applications or Internet of Things applications, the structure of the data acquisition nodes is different, but each node has roughly the same energy management demand and dormancy scheduling demand, therefore, the wireless sensor network node middleware proposed by the present invention can effectively ...

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Abstract

In order to conveniently add energy management mechanisms and sleep scheduling algorithms in different wireless sensor network applications and different applications of the Internet of Things to prolong the network living period, the invention provides service-oriented wireless sensor network energy management middleware and a working method. According to the working method, various typical wireless sensor network applications are analyzed and concluded to find out the same point to conduct the unified design and find out the different points to conduct interface reserving, requirements of the applications for sleep scheduling can be completed through simple configuration to the specific applications, the real-time dynamic adjustment can be carried out during the network operation, repeated work is avoided, the work efficiency is improved, and the dependency problem of the applications with high sleep scheduling is solved. The working method can be widely applied to the fields such as forest fire monitoring, crop water status detection and coal gas meter reading, the network living period is prolonged, and the safety performance and the reliability of the applications are improved.

Description

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Claims

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Application Information

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Owner JILIN UNIV
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