The Internet of Things–or IoT–refers to a vast network of devices connected through the Internet, which often means wireless connected devices. These devices can range from smart appliances, smart TVs, and even smart thermostats when it comes to home connected devices. Mobile phones are also considered part of the IoT network.
Devices within the Internet of Things are those connected to the Internet that can send and receive data. While the term has been around for more than 15 years, it has been gaining in use and popularity with the explosion of wireless networks and the proliferation and sudden rise of RFID tags.
Radio frequency identification refers to tags that use electromagnetic fields to provide a variety of services to various companies and industries. RFID tags are used for tracking and the RFID industry is growing rapidly. 12 million RFID tags were sold in 2011. By 2021, it’s estimated that the number sold will increase to 209 billion as the Internet of Things grows dramatically.
One of the most important developments that utilizes both the Internet of Things and RFID tags is the global positioning system, more often known as GPS. With the world’s population projected to grow 50% in the next four decades from 6.5 billion to more than 9 billion, GPS becomes more valuable to offer basic services to companies and individuals.
There are always at least 24 active GPS satellites orbiting the Earth, though today there are over 30, including a couple of spare satellites. Each GPS satellite goes around the Earth once every 12 hours, traveling 12,500 miles above us at roughly 7,000 miles per hour. This allows a GPS receiver to determine the current time within 100 billionths of a second.
Location intelligence companies are those that specialize in location intelligence, which looks at geospatial data in an attempt to solve specific problems. Location intelligence solutions have applications in many industries, including government, healthcare, and higher education.
Location intelligence companies often use location to determine relationships between a number of factors, such as people, events, transactions, facilities, and assets. But there are challenges, as always when dealing with data. Analyzing big data requires ratios that enable the most accurate results.
The data experts for Google suggest a ratio of 15% data capture, 20% data reporting, and 65% data analysis. These ratios may also be adjusted using location intelligence software, the type used within location intelligence companies.
This pinpoints a growing development within the technology and statistics fields in general–Big Data. Big data is an ubiquitous term to describe any massive amount of data, which can be more difficult to analyze and store than smaller amounts. Big Data has been applied to numerous fields.
Geospatial location data analysis and the location intelligence companies that employ this technique have a renewed push due to the increasing population globally and the rise in the Internet of Things, which allows for increased tracking of physical objects.