Abstract
We present a light-weight event classification scheme, called Identifier based Graph Neuron (IGN). This scheme is based on highly distributed associative memory. The local state of an event is recognize through locally assigned identifiers. These nodes run an iterative algorithm to coordinate with other nodes to reach a consensus about the global state of the event. The proposed approach not only conserves the power resources of sensor nodes but is also effectively scalable to large scale WSNs.
Original language | English |
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Title of host publication | Mobile and Ubiquitous Systems: Computing, Networking, and Services |
Subtitle of host publication | 7th International ICST Conference, MobiQuitous 2010 Sydney, Australia, December 6-9, 2010, Revised Selected Papers |
Editors | Patrick Sénac, Max Ott, Aruna Seneviratne |
Place of Publication | Heidelberg, Berlin |
Publisher | Springer |
Pages | 303-304 |
Number of pages | 2 |
ISBN (Electronic) | 9783642291548 |
ISBN (Print) | 9783642291531 |
DOIs | |
Publication status | Published - 2012 |
Event | International Conference on Mobile and Ubiquitous Systems: Networks and Services 2010 - Sydney, Australia Duration: 6 Dec 2010 → 9 Dec 2010 Conference number: 7th https://link.springer.com/book/10.1007/978-3-642-29154-8 |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
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Publisher | Springer |
Volume | 73 LNICST |
ISSN (Print) | 1867-8211 |
ISSN (Electronic) | 1867-822X |
Conference
Conference | International Conference on Mobile and Ubiquitous Systems: Networks and Services 2010 |
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Abbreviated title | MobiQuitous 2010 |
Country/Territory | Australia |
City | Sydney |
Period | 6/12/10 → 9/12/10 |
Internet address |