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CS912 Sensor Networks and Mobile Data Communications

CS912 15 CATS Term 2

Availability

Option - MSc Computer Science, MSc Data Analytics

(NOTE - students who have previously taken CS345 Sensor Networks and Mobile Data Communications will not be permitted to take this module.)

Prerequisites

CS241 Operating Systems and Computer Networks

Academic Aims

The aim of the module is to equip students with a fundamental understanding of sensor networks 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 such protocols in sensor networks and ad hoc mobile networks.

Learning Outcomes

By the end of the module, a student should be able to:

  • Understand the principles of sensor networks and mobile ad hoc networks, and their impact on protocol design
  • Develop MAC and routing protocols for sensor and mobile networks
  • Develop efficient protocols for sensor and mobile networks
  • Understand and develop information dissemination protocols for sensor and mobile networks

Content

  • Motivation and applications
  • System architecture and SensorsMedia access control protocols - TDMA, duty cycling, SMAC, XMAC, IEEE802.11/15, CSMA/CA, RTS/CTS
  • Routing: directed diffusion, communication patterns, proactive/reactive/hybrid ad hoc routing, geographic routing
  • Energy efficiency in sensor networks: duty cycling, clustering, topology control
  • Network reprogramming techniques
  • Delay tolerant networks - optimistic routing, social net-based routing
  • Mobility models
  • Vehicular networks - routing, broadcast, gossip

Books

  • J. Schiller. Mobile communications (2nd Edition), Pearson, August 2003
  • H. Karl, A. Willing, Protocols and architectures for wireless sensors. Wiley and Sons, August 2007
  • C.S. Murthy, B. Manoj, Ad Hoc Wireless Networks, Prentice Hall, May 2004.
  • J. P. Hubaux, L. Buttyan, Security and Cooperation in Wireless Networks, Cambridge University Press, November 2007

Assessment

Two-hour examination (70%), Unsupervised Practical Assignment (30%)

Teaching

30 lectures