北海道⼤学シラバス
科⽬名Introduction to Wireless Sensor Networks and IoT
講義題⽬

責任教員（所属）
宮永喜⼀ ( ⼤学院情報科学研究院 )担当教員（所属）

宮永喜⼀ ( ⼤学院情報科学研究院 )Eryk Dutkiewicz ( ｼﾄﾞﾆｰ⼯科⼤学 )Negin Shariati Moghadam ( ｼﾄﾞﾆｰ⼯科⼤学 )科⽬種別

情報科学院専⾨科⽬

開講年度

2019

期間

授業形態

講義

単位数

対象学科・クラス

他学部履修等の可否

可

２学期

時間割番号

215602

1

対象年次

〜

補⾜事項

ナンバリングコード
⼤分類コード⼤分類名称

レベルコードレベル

5

⼤学院（修⼠・専⾨職）専⾨科⽬（基礎的な内容の科⽬）、⼤学院共通授業科⽬

中分類コード

中分類名称

⼩分類コード

⼩分類名称

⾔語
英語で⾏う授業

キーワード
Wireless Sensor Network, IoT, Internet, Security

授業の⽬標
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.

到達⽬標
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.

授業計画
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 inIoT area as an engineer or researcher

準備学習(予習・復習)等の内容と分量
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.

成績評価の基準と⽅法
Students 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. Theevaluation 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.

テキスト・教科書
References will be introduced in the lecture.

講義指定図書参照ホームページ

研究室のホームページ
https://csw.ist.hokudai.ac.jp/

備考
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

更新⽇時
2019/02/04 11:27:11