Hokkaido University Syllabus
Course Title
Introduction to Wireless Sensor Networks and IoT
Subtitle

Instructor (Institution)
Yoshikazu MIYANAGA ( Faculty of Information Science and Technology )Other Instructors (Institution)
Yoshikazu MIYANAGA ( Faculty of Information Science and Technology )Eryk Dutkiewicz
Negin Shariati Moghadam
Course TypeOpen To Other Faculties / Schools

OKYear2019

Semester

2nd Semester

Course Number

215602Type of Class

LectureNumber of Credits

1Year of Eligible Students〜Eligible Department /Class

Other Information

Numbering CodeMajor Category Code

Major Category Title

Level CodeLevel

5

Specialized Subjects (basics) in graduate level (Master's Course and Professional Course), Inter-Graduate School
Classes

Middle Category CodeMiddle Category Title

Small Category CodeSmall Category Title

Language TypeClasses are in English.

Key Words
Wireless Sensor Network, IoT, Internet, Security

Course Objectives
Wireless sensor networks are distributed systems, in which autonomous devices, sometimes called Motes, collect environmental data (such aslocation, speed, temperature, humidity and sound level) or, more recently, medical data (such as heart rate, blood oxygen level and pulserate). The data is collected across the network, aggregated and fed into business applications. Sensor networks and IoT devices are an enabler
for very different applications, including environmental monitoring, agricultural monitoring, medical monitoring, habitat monitoring andmilitary surveillance.

Course Goals

By the end of this course you will be able to1. know the basic structure of wireless sensor network and IoT.
2. explain many applications by using wireless sensor network and IoT.
3. present the behavior of wireless sensor network and IoT clearly.

Course Schedule
Lecture 1: a Overview of the subject, b Introduction and background on WSN and IoT, c Applications of WSN/IoT
Lecture 2: a WSN characteristics, b WSN architecture and topologies
Lecture 3: a Sensors and actuators, b Sensing, actuation and signal processing
Lecture 4: a Routing in WSN (1) Flat-Based Routing
Lecture 5: a Routing in WSN (2) Hieratical-Based Routing and Location-Based Routing
Lecture 6: a Security in WSN and IoT (1), b WSN/ IoT Attacks at Different Layers
Lecture 7: a Security in WSN and IoT (2), b Possible strategies against WSN/IoT Attacks
Lecture 8: a Resource (energy) management in WSN/IoT , b Energy Harvesting for IoT devices， c Demonstration of real measurements ofembedded sensors at UTS, FEIT building, d Industrial applications of WSN/ IoT technologies-Smart Cities, e Suggestions for future career in
IoT area as an engineer or researcher

Homework
It is required for students to make enough preparation and review before and after each lecture. For each lecture, 90 min preparation and 90
min review are required.
Lecture materials are available on the e-Leaning of Hokkaido University.

Grading SystemStudents whose attendance rate is less than 70% cannot get any evaluation. Evaluation is based on the term report (90%) and the lecture
participation (10%). By the term report, students' deep understanding of a specific technology and presentation skills are evaluated. The
evaluation is based on 5 grades. The ratio of S is not greater than 15% of registered students. The ratio of S and A is not greater 50% ofregistered students.

Textbooks
References will be introduced in the lecture.

Reading List

Websites

Website of Laboratory
https://csw.ist.hokudai.ac.jp/

Additional Information
Recommended Course (Course highly recommended to be taken together with this course):
1. Cyber Security Fundamentals
2. ABC of Information Science and Technology: Introduction to Artificial Intelligence, Big Data, and Cybersecurity for Graduate Students

Update
2019/02/04 11:27:12