Publication: Collective behavior implementation in powerline surveillance sensor network
dc.contributor.author | Pornchai Chanyagorn | en_US |
dc.contributor.author | Harold H. Szu | en_US |
dc.contributor.author | Hongye Wang | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | George Washington University | en_US |
dc.contributor.other | National Institute of Mental Health | en_US |
dc.date.accessioned | 2018-06-21T08:13:00Z | |
dc.date.available | 2018-06-21T08:13:00Z | |
dc.date.issued | 2005-12-01 | en_US |
dc.description.abstract | This paper presents the application of collective swarm intelligence in solving problems of non-multiplexing communication in powerline sensor network. Based on collective intelligence behavior in nature, we design a system that allows local sensors to collect local information acquired from the powerline channel. As the information become available, the sensor can adaptively adjust its parameters in order to achieve a common goal of non-multiplexing sensor communication throughout entire network. The non-multiplexing sensor communications is implemented using underdetermined Blind Source Separation (uBSS) based on the finite alphabet property of the data. The details of hardware implementation are provided as well as the result from the test-bed network. © 2005 IEEE. | en_US |
dc.identifier.citation | Proceedings of the International Joint Conference on Neural Networks. Vol.3, (2005), 1735-1739 | en_US |
dc.identifier.doi | 10.1109/IJCNN.2005.1556142 | en_US |
dc.identifier.other | 2-s2.0-33750112289 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/16466 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33750112289&origin=inward | en_US |
dc.subject | Computer Science | en_US |
dc.title | Collective behavior implementation in powerline surveillance sensor network | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33750112289&origin=inward | en_US |