Teaching Responsibility
LJMU Schools involved in Delivery:
LJMU Partner Taught
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
7545ELEMST-JAN-PAR
Aims
To develop an understanding of ad hoc and sensor networking concepts, protocol design, and coding techniques.
Learning Outcomes
1.
Demonstrate a comprehensive understanding of the concepts, opportunities and issues surrounding Wireless Sensor Networks.
2.
Evaluate various protocols, traffic, propagation models and access techniques using analytical methods and modelling techniques.
3.
Demonstrate a high level understanding of the concepts, principles, opportunities and issues surrounding Big Data.
4.
Apply mathematical and data analytic techniques, and computer-based models for solving complex problems and to assess sensor networks.
5.
Design, implement and critically evaluate a practical solution that uses wireless networks and the data generated for a given engineering problem.
Module Content
Outline Syllabus:Wireless Sensor Networks: Introduction, topologies, protocols and platforms.
Radio Technologies: 802.15.4, 802.11, Bluetooth, WiFi and other proprietary systems.
Big Data Analytics: Principles and techniques, Issues and opportunities, k-means and other statistical algorithms, community clustering principles etc.
Modelling tools and simulation techniques to explore and address limitation and issues in sensor networks and data analytics techniques.
Applications and case studies: for example remote condition monitoring
Additional Information:This module encourages development of theoretical understanding and practical experience in wireless and sensor networks.