This module examines the various architectures for M2M systems and technologies that enable the development and deployment of those systems. Presents a balanced view of the technology, proposed standards, and cutting-edge applications. Facilitates the understanding required to solve problems related to the design, deployment, and operation of M2M communications networks and systems.
In particular, the course is divided into five different blocks:
- Capillary networking;
- ,Wide-area networking;
- Tagging;
- Identification;
- Localisation services
- Application scenarios;
Internet-of-things
Smart Grid
Vehicular Networks)

An ASSIGNMENT (100%) consisting of.

1. An electronic log book based on laboratory work (30%) assessing Learning Outcomes 1 and 2.
2.
2. An individually assessed lab report of 1,500 words weighted at 70% assessing Learning Outcomes 3 and 4.

Students will be provided with formative assessment and feedback via the VLE and throughout the semester.

36 hours of Lecture/practical based teaching supported by VLE.

Lecture (2 hours per week), tutorial/practical laboratory work (1 hour per week)
Directed reading, information gathering, and student supervised learning (114 hours)

Vojislav B. Misic, Jelena Misic, (2014), Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications, CRC Press, ISBN 9-781-46656-1236

David Boswarthick, Omar Elloumi, Olivier Hersent, (2012), M2M Communications: A Systems Approach, Wiley, ISBN: 9-781-11999-4756

Vlasios Tsiatsis, Ioannis Fikouras, Stefan Avesand, Stamatis Karnouskos, Catherine Mulligan, David Boyle, Jan Holler, (2014), From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence Elsevier

1. Demonstrate systematic understanding of the main challenges associated with machine-to-machine communications with respect to the status quo in networking today. (Knowledge and Understanding, Learning).
2. Apply and extend appropriate analytical and practical techniques to dimension local and wide-area networks for machine-to-machine applications. (Application, Problem Solving).
3. Analyse a selected application scenario for machine-to-machine communications and demonstrate the interrelationship between the different components. (Knowledge and Understanding, Analysis, Enquiry).
4. Exercise initiative and demonstrate complex decision making by designing, implementing and testing machine-to-machine solution as part of a team of designers. (Communication, Knowledge and Understanding, Learning).