Entry requirements

Programming and Probability and statistics.

Learning outcomes

In order to pass the course, the students should be able to:

• Explain in a concise manner how the general Internet as well as Internet of Things work.
• Understand constraints and opportunities of wireless and mobile networks for Internet of Things.
• Use basic measurement tools to determine the real-time performance of packet based networks.
• Analyse trade-offs in interconnected wireless embedded sensor networks.

Content

The course covers the following areas:

● Internet in general and Internet of Things: layers, protocols, packets, services, performance parameters of a packet network as well as applications such as web, Peer-to-peer, sensor networks, and multimedia.

● Transport services: TCP, UDP, socket programming.

● Network layer: forwarding & routing algorithms (Link, DV), IP-addresses, DNS, NAT, and routers.

● Local Area Networks, MAC level, link protocols such as: point-to-point protocols, Ethernet, WiFi 802.11, cellular Internet access, and Machine-to-machine.

● Mobile Networking: roaming and handoffs, mobile IP, and ad hoc and infrastructure less networks.

● Real-time networking: soft and real time, quality of service/information, resource reservation and scheduling, and performance measurements.

● IoT definitions: overview, applications, potential & challenges, and architecture.

● IoT examples: Case studies, e.g. sensor body-area-network and control of a smart home.

● Lab: performance measurements on local wireless and mobile networks.

Instruction

Lectures, supervised group work, exercise sessions, computer labs, and seminars

Assessment

Written assignments and oral examinations.