CS345-15 Sensor Networks and Mobile Data Communications

Academic year
20/21
Department
Computer Science
Level
Undergraduate Level 3
Module leader
Victor Sanchez
Credit value
15
Module duration
10 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry
Introductory description

CS345 Sensor Networks and Mobile Data Communication.

Module aims

The aim of the module is to equip students with a fundamental understanding of sensor network and mobile ad hoc networks, including the domains in which associated technologies have been applied. The emphasis of the module is on the efficiency and practicality of protocols in sensor networks and ad hoc mobile networks.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Learning outcomes

By the end of the module, students should be able to:

Indicative reading list

(a) J. Schiller. Mobile communications (2nd Edition), Pearson, August 2003.
(b) H. Karl, A. Willing, Protocols and architectures for wireless sensors. Wiley and Sons, August 2007.
(c) C.S. Murphy, B. Manoj, Ad Hoc Wireless Networks, Prentice Hall, May 2004.

Subject specific skills

Understand current networking and transmission protocols for wireless ad hoc and sensor networks
Design new networking and transmission protocols for wireless ad hoc and sensor networks
Understand the importance of energy saving protocol in wireless sensor networks

Transferable skills

Capacity to analyse new wireless technologies
Simulation of wireless networks
Evaluation of wireless transmission protocols

Study time

Type Required
Lectures 23 sessions of 1 hour (15%)
Practical classes 7 sessions of 1 hour (5%)
Private study 120 hours (80%)
Total 150 hours
Private study description

Background reading on wireless networks.
Reading of supplemental material to reinforce the concepts covered in class.
Revision of concepts covered in class.

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Students can register for this module without taking any assessment.

Assessment group D1
Weighting Study time
practical project report 30%

Report will be 1800 - 2000 words max

Online Examination 70%

Exam

~Platforms - AEP


  • Answerbook Pink (12 page)
Assessment group R
Weighting Study time
Online Examination - Resit 100%

CS345 resit examination

~Platforms - AEP


  • Online examination: No Answerbook required
  • Students may use a calculator
Feedback on assessment

Students will be provided with individual forms containing detailed feedback and comments regarding their coursework submissions.

Past exam papers for CS345

Pre-requisites

Students must have studied CS241 or be able to show that they have studied equivalent relevant content.

Courses

This module is Core for:

  • Year 1 of TCSA-G5PB Postgraduate Taught Data Analytics (CUSP)

This module is Optional for:

  • UCSA-G4G1 Undergraduate Discrete Mathematics
    • Year 3 of G4G1 Discrete Mathematics
    • Year 3 of G4G1 Discrete Mathematics
  • Year 3 of UCSA-G4G3 Undergraduate Discrete Mathematics
  • Year 4 of UCSA-G4G2 Undergraduate Discrete Mathematics with Intercalated Year

This module is Option list A for:

  • Year 4 of UCSA-G504 MEng Computer Science (with intercalated year)
  • UCSA-G500 Undergraduate Computer Science
    • Year 3 of G500 Computer Science
    • Year 3 of G500 Computer Science
  • UCSA-G502 Undergraduate Computer Science (with Intercalated Year)
    • Year 4 of G502 Computer Science with Intercalated Year
    • Year 4 of G502 Computer Science with Intercalated Year
  • UCSA-G503 Undergraduate Computer Science MEng
    • Year 3 of G500 Computer Science
    • Year 3 of G503 Computer Science MEng
    • Year 3 of G503 Computer Science MEng
  • Year 3 of UCSA-G406 Undergraduate Computer Systems Engineering
  • Year 3 of UCSA-G408 Undergraduate Computer Systems Engineering
  • Year 4 of UCSA-G407 Undergraduate Computer Systems Engineering (with Intercalated Year)
  • Year 4 of UCSA-G409 Undergraduate Computer Systems Engineering (with Intercalated Year)

This module is Option list B for:

  • USTA-G302 Undergraduate Data Science
    • Year 3 of G302 Data Science
    • Year 3 of G302 Data Science
  • Year 3 of USTA-G304 Undergraduate Data Science (MSci)
  • Year 4 of USTA-G303 Undergraduate Data Science (with Intercalated Year)