|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 3 van 4 gevonden artikelen
| Titel: |
An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem |
| Auteur: |
Ehsan Heidari Ali Movaghar |
| Verschenen in: |
The international journal on applications of graph theory in wireless ad hoc networks and sensor networks : J GRAPH-HOC |
| Paginering: | Jaargang 3 (2011) nr. 1 pagina's 18-33 |
| Jaar: |
2011 |
| Inhoud: |
Minimization of the number of cluster heads in a wireless sensor network is a very important problem toreduce channel contention and to improve the efficiency of the algorithm when executed at the level ofcluster-heads. In this paper, we propose an efficient method based on genetic algorithms (GAs) to solve asensor network optimization problem. Long communication distances between sensors and a sink in asensor network can greatly drain the energy of sensors and reduce the lifetime of a network. By clusteringa sensor network into a number of independent clusters using a GA, we can greatly minimize the totalcommunication distance, thus prolonging the network lifetime. Simulation results show that our algorithmcan quickly find a good solution. |
| Uitgever: |
Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 3 van 4 gevonden artikelen
| << vorige | volgende >> |
Toegankelijkheidsverklaring