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21206 Analysis methodology for flow-level evaluation of a hybrid mobile-sensor network
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Dimitrova, D.C. and Heijenk, G.J. and Braun, T. (2012) Analysis methodology for flow-level evaluation of a hybrid mobile-sensor network. In: Third International ICST Conference on Mobile Lightweight Wireless Systems, Mobilight 2011, Revised Selected Papers, 9-11 May 2011, Bilbao, Spain. pp. 347-355. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 81. Springer Verlag. ISSN 1867-8211 ISBN 978-3-642-29478-5

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Official URL: http://dx.doi.org/10.1007/978-3-642-29479-2_29

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Abstract

Our society uses a large diversity of co-existing wired and wireless networks in order to satisfy its communication needs. A cooper- ation between these networks can benefit performance, service availabil- ity and deployment ease, and leads to the emergence of hybrid networks. This position paper focuses on a hybrid mobile-sensor network identify- ing potential advantages and challenges of its use and defining feasible applications. The main value of the paper, however, is in the proposed analysis approach to evaluate the performance at the mobile network side given the mixed mobile-sensor traffic. The approach combines packet- level analysis with modelling of flow-level behaviour and can be applied for the study of various application scenarios. In this paper we consider two applications with distinct traffic models namely multimedia traffic and best-effort traffic.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DACS: Design and Analysis of Communication Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:E-Quality: Expertise Centre on Performance and Quality of Service in ICT
Additional Information:Presented at the 1st International Workshop on Opportunistic Sensing and Processing in Mobile Wireless Sensor and Cellular networks (MobiSense).
ID Code:21206
Status:Published
Deposited On:18 January 2012
Refereed:Yes
International:Yes
More Information:statisticsmetis

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