Skip to Main content Skip to Navigation
Conference papers

Service Location Protocol Overhead in the Random Graph Model for Ad Hoc Networks

Hend Koubaa 1 Eric Fleury 2
1 RESEDAS - Software Tools for Telecommunications and Distributed Systems
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 ARES - Architectures of networks of services
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : To deploy a protocol in a network, a deep performance study has to be curried. In particular, in the case of ad hoc networks, this performance is principally tied to overhead optimization. In fact, bandwidth limitation and frequent collisions in ad hoc networks represent constraints upon deploying applications which overhead is important. In this paper, we are interested in minimizing overhead due to the deployment of an application we think is relevant to be deployed in ad hoc networks. This application, called service location, aims to make it possible for a mobile user to know about provided services in the network. In this context, we propose an analysis to estimate consumed overhead in different service location approaches. Our analysis is motivated by network and ad hoc application modeling and estimation of overhead due to service covering and request handling.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/inria-00107566
Contributor : Publications Loria <>
Submitted on : Thursday, October 19, 2006 - 9:01:36 AM
Last modification on : Friday, February 26, 2021 - 3:28:06 PM
Long-term archiving on: : Wednesday, March 29, 2017 - 1:09:45 PM

Identifiers

  • HAL Id : inria-00107566, version 1

Citation

Hend Koubaa, Eric Fleury. Service Location Protocol Overhead in the Random Graph Model for Ad Hoc Networks. 7th IEEE Symposium on Computers and Communications - ISCC'2002, Jul 2002, Taormina, Italy, 6 p. ⟨inria-00107566⟩

Share

Metrics

Record views

220

Files downloads

246