| dc.contributor.author |
Ferentinos, KP |
en |
| dc.contributor.author |
Tsiligiridis, TA |
en |
| dc.contributor.author |
Arvanitis, KG |
en |
| dc.date.accessioned |
2014-06-06T06:46:14Z |
|
| dc.date.available |
2014-06-06T06:46:14Z |
|
| dc.date.issued |
2005 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1109/CIMSA.2005.1522872 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/2865 |
|
| dc.subject |
Energy conservation |
en |
| dc.subject |
Genetic algorithms |
en |
| dc.subject |
Precision agriculture |
en |
| dc.subject |
Sensor network design |
en |
| dc.subject.other |
Energy conservation |
en |
| dc.subject.other |
Energy efficiency |
en |
| dc.subject.other |
Genetic algorithms |
en |
| dc.subject.other |
Sensors |
en |
| dc.subject.other |
Precision agriculture |
en |
| dc.subject.other |
Sensor network design |
en |
| dc.subject.other |
Wireless telecommunication systems |
en |
| dc.title |
Energy optimization of wireless sensor networks for environmental measurements |
en |
| heal.type |
conferenceItem |
en |
| heal.identifier.primary |
10.1109/CIMSA.2005.1522872 |
en |
| heal.identifier.secondary |
1522872 |
en |
| heal.publicationDate |
2005 |
en |
| heal.abstract |
In this paper we propose an approach to op t im al design of application-specific wireless sen so r networks based on th e optim ization prop erties of genetic algorithm s. Specific requirem en ts for a precision agriculture applicatio n of sen so r networks are taken into account by the genetic algorithm system, together with connectivity an d en energy conservation limitations. We develop an appropriate fitness function to incorporate many aspects of network performance. The design characteristics optimized by the genetic algorithm system includ e the status of sen so r nodes (whether they are active or inactive), network clustering with the choice of appropriate clusterheads and finally the choice between two signal ranges for the norm al sen so r nodes. Optimal sensor network designs constructed by the genetic algorithm system satisfy all application-specific requirements, fulfill the existent connectivity constraints and incorporate energy conservation characteristics. © 2005 IEEE. |
en |
| heal.journalName |
Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005 |
en |
| dc.identifier.volume |
2005 |
en |
| dc.identifier.doi |
10.1109/CIMSA.2005.1522872 |
en |
| dc.identifier.spage |
250 |
en |
| dc.identifier.epage |
255 |
en |