SECOAS: Self-organizing Collegiate Sensor Networks

Objectives

• To discover and demonstrate decentralized algorithms that enable automated adaptation to failures, upgrades and requirement changes in a distributed network of micro-controllers (smart sensors)
• 
  To investigate and demonstrate novel cooperative adaptive data handling techniques
• 
  To explore methods for implementing locally intelligent sensors capable of dynamic self-configuration
• 
  To develop and test an appropriate control interface for scientific user communities
• 
  To demonstrate and prove the new technologies in a realistic application context
• 
  To undertake a major re-evaluation of environmental sensing field methodologies, and design new approaches that fully exploit the new technology.
• 
  The deployment area is the Scroby Sands Wind Farm for which we will be monitoring the sea bed movement
• 
  More details are available here at our project site hosted by University College London

The Target Architecture will have a number of sea bed nodes (SN) with radio coms buoys (SB)

Partners

BT Exact
University of Kent
Plextek
Intelisys Ltd
University College London
Essex University
University of East Anglia