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

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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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.

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