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Article Dans Une Revue International Journal of Communication Systems Année : 2017

Editorial for the special issue on heterogeneous sensors-based object identification and information fusion

Résumé

With the fast development of computing, communication, control technologies, the proliferation of heterogeneous sensors with data communication capability can provide a wide variety of data for our daily life, such as road monitoring, health-care systems, structure health checking, military applications etc. However, there are still many interesting open research problems left to be explored as well as many issues to be addressed. In this special issue, we plan to focus on various research and application issues in heterogeneous sensors based object identification and information fusion. The first paper, 'A novel distributed air index for efficient spatial query processing in road sensor networks on the air' by Yanhong Li et al., explores the problem of spatial query processing in road sensor networks by means of wireless data broadcast. In addition it presents an efficient method to partition the record-keeping information about the underlying road sensor network and its associated objects, by which develops a fully distributed air index, called integrated exponential index, based on an extended version of the Hilbert curve. Besides, this paper also proposes efficient client-side algorithms to facilitate the processing of several kinds of spatial queries, including kNN query, CkNN query, and range query. The problem of enforcing the integrity of the outsourced data remotely is addressed in the paper, 'Parallel checking of content integrity in multi-cloud storage of heterogeneous sensor systems' by Jian Mao et al.. They propose a parallel cloud data possession checking scheme for the multi-cloud environment, which utilizes the homomorphic verification tag created by the Paillier cryptosystem to support unlimited query challenges and introduces the error-correction encoding method to ensure error localization and data correction. The paper, 'Subscribing to fuzzy temporal aggregation of heterogeneous sensor streams in real-time distributed environments' by J. Medina et al., presents an approach for distributing and processing heterogeneous data based on a representation with fuzzy linguistic terms, to solve the problems of the data fusion of sensors and the design of processing information. What's more, in order to illustrate the usefulness and effectiveness of this proposal, the authors present the results of the fuzzy temporal aggregation of sensor streams with alpha-cut subscriptions in a case study where an
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hal-02091767 , version 1 (06-04-2019)

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Huansheng Ning, Didier El Baz, Laurence T Yang, Rui Wang. Editorial for the special issue on heterogeneous sensors-based object identification and information fusion. International Journal of Communication Systems, 2017, 30 (5), pp.e3298. ⟨10.1002/dac.3298⟩. ⟨hal-02091767⟩
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