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Sensor Networks and Applications (COMP90017)

Graduate courseworkPoints: 12.5Not available in 2019

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Overview

Year of offerNot available in 2019
Subject levelGraduate coursework
Subject codeCOMP90017
FeesSubject EFTSL, Level, Discipline & Census Date

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:

  1. Develop an understanding of sensor network technologies from three different perspectives: sensing, communication, and computing (including hardware, software, and algorithms) and their applications
  2. 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 April 2019