A computer system designed for recursive calibration of a sensor network receives a first message from a first sensor node which is a neighbor of an uncalibrated sensor node. The computer system updates the linear regressions that connect the sensor node as well as a variety of nearby sensor nodes. They include the neighboring calibrated sensor. The system then calibrates the initial sensor node using the average of the set of linear regressions weighted by an interrelation. The system computer calibrates the first sensor by using the calibrated node to calibrate a neighboring uncalibrated sensor. The computer system then collects a calibrated sensor reading at the first sensor.

Computers and computing have affected almost every aspect of our lives. Computers play a role in many aspects of modern-day life such as work, recreation and healthcare, transport, entertainment, household management, and so on. Computer systems play an increasingly important function in processing sensor data as well as collecting environmental data. The issue of air pollution is a huge issue throughout the world. Numerous towns and cities have developed networks of pollution sensors to gather data on the levels of pollution within and around their communities.

Low-cost sensor network solutions are a common solution for monitoring complex, heterogeneous environmental events over long durations of time. But, because of their low cost calibration of individual sensors is time-consuming and vulnerable to error. Accordingly, there is aneed to develop new technologies to improve the usage and reliability of sensors.

The subject matter in this document is not restricted to embodiments that eliminate problems or operate in the same environments as those mentioned above. Rather, this background is provided only to illustrate one exemplary technologyarea where some embodiments described herein could be implemented.

Computer systems and methods that permit recursive calibration a sensor network are presented. The computer system may receive a first data communication for instance, from a sensor node that is situated near a calibrated sensornode. The computer system adjusts a set of linear regressions between the initial sensor node and a set of neighboring sensor nodes, which include the calibrated sensor neighboring node. Computer systems calibrate a sensor node using the average of the set linear regressions weighted with a correlation. The computer system calibrates the initial sensor by using the sensor that has been calibrated for calibration of the uncalibrated neighboring sensor node. The computer then collects a calibrated sensor reading at the first sensor node.

The Summary outlines the basic concepts in a simplified form. The concepts are described in greater detail in the detailed description. The Summary is not able to define the most important features or essential features in the claimed subjectmatter. It is also not meant to be used in determining the nature of the subject matter claimed.

The next description will provide additional features and benefits. Partly, these will be evident in the explanation. You can also master them by following the teachings. The advantages and features of the invention are possible to realize and realized through the instruments and combinations particularly described in the appended claims. The following description and the attached claims will help make the characteristics of the present invention more obvious. Also, you could master them by practicing the invention in the manner described herein.

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There are many kinds of patents and knowing them is essential to protecting your invention. Utility patents cover the development of new methods and machines. Design patents cover ornamental designs. Patents for utility are the most effective since they shield the proprietor from copycats and other competitors. Most often the utility patents are issued for improvements or modifications to existing inventions. Utility patents also cover enhancements and modifications to existing inventions. For example, a process patent will cover acts or methods of doing a specific act, whereas a chemical composition will include the combination of ingredients.

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The first step to obtain your patent is to perform an internet search for patents. You can do a google patent search or do a USPTO search. Once the patent application is filed, the item covered by the application can be described as patent-pending. you can locate the patent application on public pair. When the patent office is satisfied with your application, you’ll be able to do a patent number look to locate the issued patent. The product you are selling will be patentable. It is also possible to use the USPTO search engine. See below for details. Patent lawyers or a patent attorney can advise you on the process. Patents granted in the United States are granted by the US trademark and patent office, also known as the United States patent office and trademark office. The office also evaluates trademark applications.

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2. These terms will allow you to find pertinent Cooperative Patent Classifications at Classification Search Tool. To determine the most suitable classification to your invention, look through the class scheme of the classification (class schedules). You may want to consider substituting the terms you use to describe your invention if you do not receive any results from your Classification Text Search with synonyms such as the terms you used in the first step.

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To review your search, you can hire a registered patent attorney to assist. A preliminary search will help one better prepare to talk about their invention and other related inventions with a professional patent attorney. In addition, the attorney will not spend too much time or money on patenting basics.