Genetic Algorithm-Based Sensor Deployment with Area Priority
| dc.contributor.author | Kalayci, TE | |
| dc.contributor.author | Ugur, A | |
| dc.date.accessioned | 2025-04-10T10:32:32Z | |
| dc.date.available | 2025-04-10T10:32:32Z | |
| dc.description.abstract | We are introducing a new design goal called area priority to determine optimal sensor node distribution. The environment in which the wireless sensor network (WSN) will be placed is divided into parts and priorities are attached to these parts. Priorities make the deployment problem adaptable to nonhomogeneous environments with regions that have different importance levels such as forests. Various tree/animal types and densities, residential in the forest can be classified by the area priority concept that we propose. We also develop a genetic algorithm-based method to optimize the total importance in a fully connected WSN. Experimental results obtained for different priorities are presented and discussed. | |
| dc.identifier.e-issn | 1087-6553 | |
| dc.identifier.issn | 0196-9722 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14701/38922 | |
| dc.language.iso | English | |
| dc.title | Genetic Algorithm-Based Sensor Deployment with Area Priority | |
| dc.type | Article |