grating additional wireless technologies. As a result, antenna design for IoT modules must contend with the limits relating 'ever-shrinking' paths while retaining acceptable performance of antennas under important situations like fading, noise, and the need for efficiency. Improved techniques relating to scheduling, inter- ference, multiplexing, and work related to radio resource allocation in tandem with antenna design helps to better understand capable antenna systems related to IoT. A key goal of this particular issue for new research is the growth of well-organized, scalable, cost-effective, antenna systems with reliability for the IoT. The effects of randomness in component locations in antenna arrays, MIMO antenna systems, MIMO system transference approaches, position tolerance design technique, and antenna designs related to ISM and RFID devices in an Internet of Things enabled environment, are all given special attention. The Internet has changed the way we acquire data in the modern-day. More small gadgets with the ability to link to the Internet are being built as manufacturing prices fall, laying the framework for the IoT (Internet of Things). The major goal of the Internet of Things is to extend internet connectivity more than traditional devices like desktops and tablet to a wide range of other devices that use embedded technologies for communication and interact with one another over the Internet. Increased channel capacity is possible using multi-input multiple-output (MIMO) systems, which do not require additional radio frequency spectrum and transmitter power. MIMO techniques offer a variety of benefits, including improved data rate, reduced multipath effects, and enhanced capacity, given the power and bandwidth limitations of the current generation of cellular systems. MIMO systems transmit and receive uncorrelated signals while improving channel capacity by generating parallel resolvable channels. The fundamental issues in MIMO antenna design are maintaining modest dimensions, good radiation ef