Discipline: Computer Sciences and Information Management
Subcategory: Computer Science & Information Systems
Leo Curry - J.F. Drake State Community and Technical College
Co-Author(s): Ronald Egson and Adam Clark, J.F. Drake State Community and Technical College, Huntsville, AL
This research aims to discover the evolving capability of a machine to machine functionality. The study describes how machines communicate with one another and list the earlier recordings of machine to machine functions, and features needed to cultivate machine to machine technology. M2M is an extensive label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans. This research will use past examples of machine to machine technologies, which will accredit all details to original researchers. An example will also be provided demonstrating how machine to machine structures will bridge the gap in the IoE (Internet of Everything) dramatically by advanced technology breakthroughs. Future research is needed to identify the next phase of machine to machine advancement, which will include interviews with others in the industry and leaders in the area of machine to machine technology.
Funder Acknowledgement(s): NSF GA-AL LSAMP Grant #1305041
Faculty Advisor: Ronald Egson,