MOCAVI: An efficient causal protocol for cellular networks

A cellular network consists of two main components: base stations (BS) and mobile hosts (MH). It is through base stations that mobile hosts can communicate. In order to reduce the causal overhead and the computational cost over mobile hosts, most of the existing protocols for cellular networks ensur...

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Detalles Bibliográficos
Autores: EDUARDO LOPEZ DOMINGUEZ, SAUL EDUARDO POMARES HERNANDEZ, GUSTAVO RODRIGUEZ GOMEZ
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2008
País:México
Institución:Instituto Nacional de Astrofísica, Óptica y Electrónica
Repositorio:Repositorio Institucional del INAOE
Idioma:inglés
OAI Identifier:oai:inaoe.repositorioinstitucional.mx:1009/1021
Acceso en línea:http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1021
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/Causal ordering/Causal ordering
info:eu-repo/classification/Mobile causal view/Mobile causal view
info:eu-repo/classification/Cellular networks/Cellular networks
info:eu-repo/classification/Immediate dependency relation/Immediate dependency relation
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/12
info:eu-repo/classification/cti/1203
Descripción
Sumario:A cellular network consists of two main components: base stations (BS) and mobile hosts (MH). It is through base stations that mobile hosts can communicate. In order to reduce the causal overhead and the computational cost over mobile hosts, most of the existing protocols for cellular networks ensure causal order at BSs. However, these protocols introduce unnecessary inhibition of delivery of messages since the causal ordering is carried out according to the causal view of the BSs and not in absolute accordance with the causal view of the MHs. In this paper, we present MOCAVI, an efficient protocol that ensures causal ordering according to the causal view of mobile hosts, through which we avoid the unnecessary inhibition of message delivery while maintaining a low overhead and computational cost.