Catálogo de publicaciones - libros
Network and Parallel Computing: IFIP International Conference, NPC 2005, Beijing, China, November 30: December 3, 2005, Proceedings
Hai Jin ; Daniel Reed ; Wenbin Jiang (eds.)
En conferencia: IFIP International Conference on Network and Parallel Computing (NPC) . Beijing, China . November 30, 2005 - December 3, 2005
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Theory of Computation; Computer Communication Networks; Software Engineering; Operating Systems; Algorithm Analysis and Problem Complexity; Information Systems Applications (incl. Internet)
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-29810-6
ISBN electrónico
978-3-540-32246-7
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2005
Cobertura temática
Tabla de contenidos
doi: 10.1007/11577188_71
Research of Survival-Time-Based Dynamic Adaptive Replica Allocation Algorithm in Mobile Ad Hoc Networks
Yijie Wang; Kan Yang
Power conservation and extending survival time are critical issues in mobile ad hoc networks, as the nodes are powered by battery only. In this paper, according to the mobility of nodes, the survival-time-based adaptive replica allocation algorithm is proposed. In the survival-time-based dynamic adaptive replica allocation algorithm, based on the locality of data access, the replica allocation scheme is adjusted regularly in order to reduce the power consumption, and thus extend the survival time of network. The relation between mobility models and efficiency of survival-time-based dynamic adaptive replica allocation algorithm is studied. The results of performance evaluation show that the survival-time-based dynamic adaptive replica allocation algorithm can reduce the total power consumption of network greatly and extend the survival time of network evidently.
- Session 10: Ubiquitous Computing | Pp. 503-510