Design of protocols for self-organized communication for artificial skin for robotic systems


Communication Networks



Cellul.A.R.Skin has been developed by the Institute for Cognitive Systems to form an artificial robotic skin out of hexagonal shaped, intelligent unit cells, communicating based on cell-2-cell communication. The existing communication mechanisms shall be examined and improved to fit a broad range of requirements for robotic sensor networks.

Tasks and Objectives

Design, simulation and implementation of a fault tolerant, efficient, and self-configuring and self-adaptive cell-2-cell communication mechanism for sensor information between HEX-o-SKIN modules.

  1. Design of (possibly hierarchical) routing algorithms and protocols taking into account auto- configuration, synchronization, adaptation, self-organization, fault tolerance
  2. The algorithm should scale for different skin surface structures, sizes and types of sensors (update frequency, energy consumption, accuracy, delay, density)
  3. Evaluation of the algorithm through simulation and comparison with state of the art ad hoc and sensor network protocols incl. wireless body area networks
  4. Prototype implementation of the protocol on Cellul.A.R.Skin


  • Good knowledge in communication networks and, in particular, sensor networks
  • Knowledge in ad hoc and sensor network algorithms
  • Excellent programming skills (C)
  • Some experience with design of electronic devices