Distributed genetic evolution in WSN

Philip Valencia*, Peter Lindsay, Raja Jurdak

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)

Abstract

Wireless Sensor Actuator Networks (WSANs) extend wireless sensor networks through actuation capability. Designing robust logic for WSANs however is challenging since nodes can affect their environment which is already inherently complex and dynamic. Fixed (offline) logic does not have the ability to adapt to significant environmental changes and can fail under changed conditions. To address this challenge, we present In situ Distributed Genetic Programming (IDGP) as a framework for evolving logic post-deployment (online) and implement this framework on a physically deployed WSAN. To demonstrate the features of the framework including individual, cooperative and heterogeneous evolution, we apply it to two simple optimisation problems requiring sensing, communications and actuation. The experiments confirm that IDGP can evolve code to achieve a system wide objective function and is resilient to unexpected environmental changes.

Original languageEnglish
Title of host publicationProceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN '10
Place of PublicationNew York
PublisherACM
Pages13-23
Number of pages11
ISBN (Print)9781605589886
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2010 - Stockholm, Sweden
Duration: 12 Apr 201016 Apr 2010

Other

Other9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2010
CountrySweden
CityStockholm
Period12/04/1016/04/10

Keywords

  • distributed
  • genetic program
  • learning
  • online

Fingerprint Dive into the research topics of 'Distributed genetic evolution in WSN'. Together they form a unique fingerprint.

  • Cite this

    Valencia, P., Lindsay, P., & Jurdak, R. (2010). Distributed genetic evolution in WSN. In Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN '10 (pp. 13-23). New York: ACM. https://doi.org/10.1145/1791212.1791215