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Sensor Networks and Applications (COMP90017)

Graduate courseworkPoints: 12.5Not available in 2019

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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