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Sensor Networks and Applications (COMP90017)
Graduate courseworkPoints: 12.5Not available in 2017
You’re currently viewing the 2017 version of this subject
About this subject
Overview
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AIMS
Sensor networks are a key component of today’s increasingly pervasive computing technologies. In this subject, the aim is to develop an understanding of sensor network technologies from three different perspectives: sensing, communication, and computing (including hardware, software, and algorithms) and their applications.
INDICATIVE CONTENT
Topics covered include:
- Attributes of sensor networks
- Wired and wireless sensors
- Sensors and networks design and deployment issues
- Bandwidth and energy constraints aware techniques for network discovery
- Network control and routing
- Collaborative information processing
- Offloading processing and data management tasks, querying
- Tasking and programming sensor networks
- Standards that provide the models and schema encoding for defining the geometric, dynamic and observational characteristics of a sensor, and
- Applications
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Develop an understanding of sensor network technologies from three different perspectives: sensing, communication, and computing (including hardware, software, and algorithms) and their applications
- Discuss and present new sensor network technologies in oral and written form
Generic skills
On completion of this subject students should have the following skills:
- Ability to undertake problem identification, formulation and solution
- Capacity for independent critical thought, rational inquiry and self-directed learning
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship.
Last updated: 3 November 2022