Genetic Programming for Proactive Aggregation Protocols

Authors:
Thomas Weise;Kurt Geihs;Philipp A. Baer
Affiliations:
University of Kassel, Wilhelmshöher Allee 73, D-34121 Kassel, Germany;University of Kassel, Wilhelmshöher Allee 73, D-34121 Kassel, Germany;University of Kassel, Wilhelmshöher Allee 73, D-34121 Kassel, Germany
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Year:
2007

Citing 4
Cited 0

Genetic programming: on the programming of computers by means of natural selection

Genetic programming: on the programming of computers by means of natural selection
Adaptive protocols for information dissemination in wireless sensor networks

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Epidemic-Style Proactive Aggregation in Large Overlay Networks

ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Gossip-based aggregation in large dynamic networks

ACM Transactions on Computer Systems (TOCS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present an approach for automated generation of proactive aggregation protocols using Genetic Programming. First a short introduction into aggregation and proactive protocols is given. We then show how proactive aggregation protocols can be specified abstractly. To be able to use Genetic Programming to derive such protocol specifications, we describe a simulation based fitness assignment method. We have applied our approach successfully to the derivation of aggregation protocols. Experimental results are presented that were obtained using our own Distributed Genetic Programming Framework. The results are very encouraging and demonstrate clearly the utility of our approach.