• System architecture for IoT and associated business models.
• Infrastructure for IoT: LoRa-Wan, 6LoWPAN, 5G and SigFox.
• Operating systems and programming environments for embedded units, for example, Linux, TinyOS and Contiki.
• Application protocols for the transfer of sensor data, for example, MQTT and CoAP.
• Application areas and associated system requirements.
• Sustainability, safety, privacy, energy, and ethics concerning IoT systems.

Having passed the course, the student should be able to:

• describe at a general level system architectures for different existing technologies for the Internet of Things (IoT)
• describe communications protocols related to IoT and machine to machine communication (M2M)
• explain how the network layer supports IoT systems
• configure and design IoT services with existing technologies
• from a broad perspective explain challenges concerning sustainability, safety, integrity, and ethics for IoT technology.

For the highest grade the student should also be able to:

• explain the structure of system architecture and the life cycle for different existing technologies for IoT
• solve general resource allocation problems concerning IoT networks
• compare different communications protocols related to IoT and machine to machine communication
• analyse performance and reliability for existing IoT systems
• analyse IoT systems with regard to sustainability, safety, integrity, and ethics.

First 4 weeks are reserved for lectures with programming assignment task and PRO1.1.

Following 4 weeks are reserved for Scrum projects. Each group will have 4-5 students. 

M1: Introduction

1. Ericsson Mobility Report Nov 2019
2. Cellular Internet of Things – Technologies, Standards and Performance, Liberg et.al., Elsevier – Academic Press.
3. Cellular IoT Evolution for Industry Digitalization - White paper. Ericsson,
   https://www.ericsson.com/en/reports-and-papers/white-papers/cellular-iotevolution-for-industry-digitalization
4. 3GPP, The Mobile Broadband Standard - https://www.3gpp.org/
5. Machina Research – White paper, 2013

M2: Business models and case study

1. Gonçalves, V., & Dobbelaere, P. (2010, June). Business scenarios for machine-to-machine mobile applications. In 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR) (pp. 394-401). IEEE.
2. Markendahl, J., & Mäkitalo, Ö. (2007). Customer relations and business role interaction for wireless access provisioning in local environments. Proc. Los Angeles Global Mobility Roundtable. 
3. Markendahl, J., & Laya, A. (2013). Business challenges for Internet of Things: Findings from e-home care, smart access control, smart cities and homes. In The 29th Annual IMP Conference. IMP Group.
4. Markendahl, J., Lundberg, S., Kordas, O., & Movin, S. (2017, November). On the role and potential of IoT in different industries: Analysis of actor cooperation and challenges for introduction of new technology. In 2017 Internet of Things Business Models, Users, and Networks (pp. 1-8). IEEE.

M3: IoT technologies and application requirements 

1. Anuga et al., “A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges,” IEEE Access, 2017
2. Tara Salman, Raj Jain, “A Survey of Protocols and Standards for Internet of Things,” https://arxiv.org/ftp/arxiv/papers/1903/1903.11549.pdf
3. Bansal, D. Kumar, “IoT Ecosystem: A Survey on Devices, Gateways, Operating Systems, Middleware and Communication,” International Journal of Wireless Information Networks, 2020, 27:340–364
4. Ren, H. Guo, C. Xu and Y. Zhang, Serving at the edge: a scalable iot architecture based on transparent computing, IEEE Network, Vol. 31, No. 5, pp. 96–105, 2017.
5. Balaji, K. Nathani and R. Santhakumar, IoT technology, applications and challenges a contemporary survey, Wireless Personal Communications, Vol. 108, pp. 1–26, 2019.
6. Kraijak, and P. Tuwanut, A survey on IoT architectures, protocols, applications, security, privacy, real-world implementation and future trends. In 11th international conference on wireless communications, networking and mobile computing (WiCOM 2015), 2015.

M6: Communication Technologies

1. Azari, A., Serving IoT Communications over Cellular Networks: Challenges and Solutions in Radio Resource Management for Massive and Critical IoT Communications, doctoral thesis KTH Royal Institute of Technology, 2018.
2. Boulogeorgos, Alexandros-Apostolos A., Panagiotis D. Diamantoulakis, and George K. Karagiannidis. "Low power wide area networks (lpwans) for internet of things (iot) applications: Research challenges and future trends." arXiv preprint arXiv:1611.07449(2016).
3. Chang P., Low Power Wide Area Networks, NB-IoT and the Internet of Things, Keysight Technologies, 2016
4. Fialho, Vitor, and Fernado Azevedo. "Wireless Communication Based on Chirp Signals for LoRa IoT Devices." i-ETC: ISEL Academic Journal of Electronics Telecommunications and Computers4.1 (2018): 6.
5. Kuhlins C., B. Rathonyi, A. Zaidi M. Hogan, Cellular Networks for Massive IoT, Ericsson White Paper Uen 284 23-3278, 2020.
6. LoRa/LoRaWAN Tutorial, 12 and 13, mobifish.com
7. Mekki, K., and E. Bajic, F. Chaxel, F. Meyer, A comparitive study of LPWAN technologies for large-scale IoT deployment
8. A technical overview of LoRa and LoRaWAN, LoRa Alliance, 2015.
9. M. B. Shahab et. al, “Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey,” IEEE COMST, 2020.
10. Bluetooth Channels, https://microchipdeveloper.com/wireless:ble-link-layer-channels
11. SigFox, https://datatracker.ietf.org/meeting/97/materials/slides-97-lpwan-25-sigfox-system-description-00.pdf
12. I. Butun et. Al, “Security Risk Analysis of LoRaWAN and Future Directions,” MDPI Future Internet, 2019.
13. L. Lei, “From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation,” PhD thesis, Linköping University, 2016.
14. D. Sjöström, Unlicensed and licensed low-power wide area networks Exploring the candidates for massive IoT, KTH PhD Thesis, 2017
15. Ericsson Mobility Report Nov 2019
16. Cellular Internet of Things – Technologies, Standards and Performance, Liberg et. al., Elsevier – Academic Press.
17. Cellular IoT Evolution for Industry Digitalization - White paper. Ericsson,
    https://www.ericsson.com/en/reports-and-papers/white-papers/cellular-iotevolution-for-industry-digitalization
18. 3GPP, The Mobile Broadband Standard - https://www.3gpp.org/

Students at KTH with a permanent disability can get support during studies from Funka:

Funka - compensatory support for students with disabilities

A, B, C, D, E, FX, F

• PRO1 - Project, 4.5 credits, Grading scale: A, B, C, D, E, FX, F
• TEN1 - Exam, 3.0 credits, Grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Project ( PRO1 ): 4.5 credits, Grading Scale: A, B, C, D, E, FX, F

–Prog. Assignment – 0.5 credit

Please see the assignment specification, which may include a short written report, and a seminar with a small demonstration depending on the assignment

–Project1-PRO1.1- 1 credits

• Written report

The student group should write a report with the following sections

1.Overview of industry sector under study (joint work in the group)

2.Value network analysis (one student do analysis for one service)

1.Service 1

2.Service 2

3.Service 3

3. Comparison of different services (joint work in the group)

• Review

The students  will review reports from the other groups

• Oral presentation  

Short presentation of main findings of the written report

–Project2 –PRO1.2- 3 credits

• Sprint Reports (will be submitted end of each sprint (weekly x 4) every Friday by 10:00am)
• Final Project Report that describes and justifies the design and work (5-8 pages)
• Git repository with fully functional source code and proper documentation
• In addition to the submitted material, a presentation and demo will be made
• Final presentation slides will be submitted
• Final Project Report and Git repository will be submitted
• After the Final Project Report submission, each student will provide individual Review Reports
• Updated Project Reports will be submitted based on reviews.

Exam ( TEN1 ): 3.0 credits, Grading scale: P, F

• Online exam or homework

Programming assignments, PRO1.1 and PRO1.2 are mandatory for your grading. 

At least 80% attendance of sessions in PRO1.2 is a must. 

Grading Assessment for Programming Assignment

For requirements see the assignment specification for P/F

Grading Assessment for PRO1.1

For requirements see the assignment specification for P/F

Grading Assessment for PRO1.2:

For requirements see the assignment specification.

Overall Course Grading Criteria:

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.