An Introduction to Wireless Communication
Wireless communication is among technology’s leading influences to manhood using IEEE Projects. The wireless communication includes the transmission of information over a distance without the aid of wires, cables or any other forms of electrical conductors. The transmitted distance can be everywhere between a few meters and thousands of kilometers.
Examples
Wireless networks communication applies to cellular telephony, wireless access to the internet, wireless home networking, and so on. Other examples of applications of radio wireless technology include GPS units, garage door openers, wireless computer mice, keyboards and headsets, headphones, radio receivers, satellite television, broadcast television, and cordless telephones.
Advantages
Types of Wireless Communication
Type 1: Infrared Wireless Communication
IR wireless communication connects data or information in devices or arrangements through infrared (IR) radiation. Infrared is electromagnetic energy at a wavelength that is longer than that of red light.
Type 2: Broadcast Radio
An audio broadcasting service, radio broadcasts sound through the air as radio waves. It practices a transmitter to transmit radio waves to a receiving antenna.
Type 3: Microwave Radio
Microwave transmission includes the transmission of voice and data over the atmosphere as super high-frequency radio waves called microwaves.
Type 4: Communication Satellites
A communication satellite is an artificial satellite used precisely as a communication transmitter/receiver in orbit.
Applications
All these applications are sometimes applied to the IoT projects.
Projects
All these wireless communication projects are helpful to know the process, functions, and applications of this field.
As you know, the massive amount of data generated in recent day from all industry domains, and it also known as big data is huge, data gathering, analysis, and data implementation process. Over the past years, big data analytics trends are changing, from a departmental method to business-driven data approach. As well as, it embracing agile method technologies and an increased focus on advanced analytics. As a matter of fact, business enterprises need to implement the big data analytics trends to stay ahead in the competition.
Latest Trends in Big Data Analytics Trends
The list of latest trends in big data analytics trends such as
Fast Growing IoT Networks
IoT will be the latest trends, which generate more than $200 billion annually by 2020. According to the industry trends and research reports, the global IoT market will grow. In fact, business will rely on more data points to gather information for more detailed business insights.
Predictive Analytics
It offers customized insights which lead organizations to generate new customer responses. As well as, it ensures purchases and promotes cross-sell opportunities. Moreover, it helps technology to integrate into diverse domains such as finance, healthcare, automotive, aerospace, retailing, pharmaceuticals, hospitality and manufacturing industries.
Quantum Computing
Tech giants such as Microsoft, IBM, Google and Intel, race against each other to work rigorously in a bid to build the first quantum computer. Since, it allows seamless data encryption, weather prediction, solving sophisticated medical problems, real conversations and better financial modelling. Thus, it is better to make organizations develop quantum computing components, algorithms, applications and software tools on cloud services.
Open Source
Small organizations and start-ups alike will benefit the most of this data trend. Open source analytical languages such as R, a GNU project associated with statistical computing and graphics has a huge adoption credit to the open source wave.