InforLorV4, Main, Merge, bibRecord, 000A86

Towards performance analysis of wireless sensor networks using Process Mining Techniques

Identifieur interne : 000A86 ( Main/Merge ); précédent : 000A85; suivant : 000A87

Towards performance analysis of wireless sensor networks using Process Mining Techniques

Auteurs : François Despaux [France] ; Ye-Qiong Song [France] ; Abdelkader Lahmadi [France]

Source :

RBID : Hal:hal-01093729

English descriptors

mix :
- -MACProtocols, Markovchain, Networkperformance, ProcessMining.

Abstract

Performance analysis of wireless sensor networks is a difficult task because of the high dynamic of networks and the use of duty-cycled MAC protocols. Markov-based modelling is an interesting approach to deal with this problem. However, existing Markov-based analytic models, beingMAC protocol-centric rather than network-centric, work under strong assumptions and do not allow to encompassingimportant network parameters like radio channel fading and capture effect, or actual implementation optimizations (notalways specified in the protocol description). In this paper we propose a novel approach to obtain a Markov chain modelfor networks running different MAC protocols by means of Process Mining Techniques. We present the main aspects of ourapproach together with the results obtained for the standard IEEE 802.15.4. The obtained Markov model can be used toevaluate various performance parameters. The approach can also be extended to a wider range of protocols.

Url:

https://hal.inria.fr/hal-01093729

DOI: 10.1109/ISCC.2014.6912522

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Hal:hal-01093729

Le document en format XML

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<front><div type="abstract" xml:lang="en">Performance analysis of wireless sensor networks is a difficult task because of the high dynamic of networks and the use of duty-cycled MAC protocols. Markov-based modelling is an interesting approach to deal with this problem. However, existing Markov-based analytic models, beingMAC protocol-centric rather than network-centric, work under strong assumptions and do not allow to encompassingimportant network parameters like radio channel fading and capture effect, or actual implementation optimizations (notalways specified in the protocol description). In this paper we propose a novel approach to obtain a Markov chain modelfor networks running different MAC protocols by means of Process Mining Techniques. We present the main aspects of ourapproach together with the results obtained for the standard IEEE 802.15.4. The obtained Markov model can be used toevaluate various performance parameters. The approach can also be extended to a wider range of protocols.</div>
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Towards performance analysis of wireless sensor networks using Process Mining Techniques

Towards performance analysis of wireless sensor networks using Process Mining Techniques

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