Polymorphic Computing Structures for Distributed Sensing
One of the key uses for Wireless Sensor Networks is event
detection, and pattern recognition is one of the primary methods
of accomplishing this. As information processing at a centralised
point is inefficient in terms of energy usage and communication,
pattern recognition should take place within the network and in a
We are developing new algorithms for performing
distributed pattern recognition and classification in WSNs, based
on the Polymorphic Computer (PmC) concept : a device
that can reconfigure itself to match the changing computing needs
of the user, by rearranging its internal components. In contrast
to previous approaches to implementing a PmC, we are carrying out
computations primarily through message passing; to aid in this, we
use an innovative communication technique based upon the concept of
hyper-dimensional binary vectors .
David Hentrich, Erdal Oruklu, and Jafar Saniie. Polymorphic Computing:
Definition, Trends, and a New Agent-Based Architecture. Circuits and
Systems, 02(04):358-364, 2011.
 Denis Kleyko, Nikita Lyamin, Evgeny Osipov, and Laurynas
Riliskis. Dependable MAC Layer Architecture Based on Holographic Data
Representation Using Hyper-Dimensional Binary Spatter Codes. In
International Workshop on Multiple Access Communications, pages 134-145. Springer Berlin Heidelberg, 2012.