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Genetic Programming Techniques for Sensor Networks

, and . Proceedings of 5. GI/ITG KuVS Fachgesprach Drahtlose Sensornetze, page 21--25. University of Stuttgart, Stuttgart, Germany, (July 2006)Technical Report No. 2006/07.

Abstract

In this paper we present an approach to automated program code generation for sensor nodes and other small devices. Using Genetic Programming, we are able to discover algorithms that solve certain problems. Furthermore, non-functional properties like code size, memory usage, and communication frequency can be optimised using multiobjective search techniques. The evolution of algorithms requires program testing, which we perform using a customised simulation environment for sensor networks. The simulation model takes into account characteristic features of sensor nodes, such as unreliable communication and resource constraints. An application example is presented that demonstrates the feasibility of our approach and its potential to create robust and adaptive code for sensor network applications.

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