Information diffusion algorithms over WSNs for non-asymptotic confidence region evaluation

Alex Calisti 1 Davide Dardari 1 Gianni Pasolini 1 Michel Kieffer 2 Francesca Bassi 3, 2
1 CNIT - Consorzio Nazionale Interuniversitario per le telecomunicazioni
2 L2S - Laboratoire des signaux et systèmes
3 ESME Sudria [Paris]
Abstract : Getting confidence regions for parameter estimates obtained from data collected by a wireless sensor network (WSN) is very important to assess the performance of the estimator. The sign perturbed sums (SPS) approach has been proposed recently to defined exact confidence regions in a centralized setting even if only few measurements are available. SPS may be distributed to get confidence regions at each node of a WSN. This paper investigates a data dissemination strategy called Tagged and Aggregated Sums (TAS), exploiting the particularities of SPS, to efficiently provide each node with the information necessary to evaluate locally the confidence region. TAS and flooding (FL) algorithms have been investigated through simulations and then implemented on commercial sensor nodes. The impact of collision avoidance mechanisms at the medium access control (MAC) layer is also experimentally assessed. Performance comparisons show that TAS outperforms FL in structured networks. 1
Type de document :
Communication dans un congrès
IEEE International Conference on Communications, May 2017, Paris, France. IEEE International Conference on Communications, pp.1 - 7, 2017, 〈10.1109/ICC.2017.7997230〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01576623
Contributeur : Michel Kieffer <>
Soumis le : mercredi 23 août 2017 - 15:48:44
Dernière modification le : mercredi 26 septembre 2018 - 01:15:51

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CENTRALESUPELEC | L2S | SUP_LSS | UNIV-PARIS-SACLAY | PARISTECH | SUP_TELECOMS

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Alex Calisti, Davide Dardari, Gianni Pasolini, Michel Kieffer, Francesca Bassi. Information diffusion algorithms over WSNs for non-asymptotic confidence region evaluation. IEEE International Conference on Communications, May 2017, Paris, France. IEEE International Conference on Communications, pp.1 - 7, 2017, 〈10.1109/ICC.2017.7997230〉. 〈hal-01576623〉

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