Design of SOA based Framework for Collaborative Cloud Computing in Wireless Sensor Networks

Patel, S. V.; Pandey, Kamlendu

doi:10.4018/978-1-4666-0879-5.ch2.3

Cited by 2 publications

(3 citation statements)

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“…Despite the many advances that exist today, the interconnection of sensor networks is challenging due to the complexity of interaction with the different existing technologies and communication protocols, each of which has certain requirements [2,3]. Additionally, it is a challenge to efficiently manage information generated by sensors.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, at present there is a growing need for versatile open platforms capable of integrating different sensing technology over wireless technologies, fusing data sets from heterogeneous sources, and intelligently managing the generated information. Nowadays there are already some architectures or frameworks that allow the interconnection of sensors, both in academia [2,4,5] and in industry [6][7][8][9]. However, the reality is that existing platforms are designed for a specific end, using a specific technology stack for each deployment and offering a very specific set of services whose functionality is very limited [10].…”

Section: Introductionmentioning

confidence: 99%

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Self-Organizing Architecture for Information Fusion in Distributed Sensor Networks

Bajo

Paz

Villarrubia

et al. 2015

International Journal of Distributed Sensor Networks

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The management of heterogeneous distributed sensor networks requires new solutions that can address the problem of automatically fusing the information coming from different sources in an efficient and effective manner. In the literature it is possible to find different types of data fusion and information fusion techniques in use today, but it is still a challenge to obtain systems that allow the automation or semiautomation of information processing and fusion. In this paper, we present a multiagent system that based on the organizational theory proposes a new model to automatically process and fuse information in heterogeneous distributed sensor networks. The proposed architecture is applied to a case study for indoor location where information is taken from different heterogeneous sensors.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self-Organizing Architecture for Information Fusion in Distributed Sensor Networks

Bajo

Paz

Villarrubia

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…The state of the art contains some architectures that allow to merge data from WSNs . There are also some novel frameworks that define methods for integrating dynamic and self‐adaptable heterogeneous WSNs and for the management of data obtained from WSNs .…”

Section: Introductionmentioning

confidence: 99%

A game theory approach for cooperative control to improve data quality and false data detection in WSN

Casado‐Vara

Prieto‐Castrillo

Corchado

2018

Intl J Robust & Nonlinear

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Summary New solutions are required for the management of heterogeneous distributed sensor networks in order to address the problem of data quality and false data detection in wireless sensor networks (WSNs). In this paper, we present a nonlinear cooperative control algorithm based on game theory. Here, a new model is proposed for the automatic processing and management of information in heterogeneous distributed WSNs. We apply our algorithm to a case study with the aim of improving the quality of temperature data collected from indoor surfaces by a WSN. Unlike the classic unsupervised methods, in the proposed algorithm, it is not necessary to define the number of clusters beforehand. Once the game reaches the game equilibrium, the resulting number of clusters can be used as input for the unsupervised classification analysis. Anomalous temperature values are corrected according to their neighborhood, without modifying the temperature clusters.

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Design of SOA based Framework for Collaborative Cloud Computing in Wireless Sensor Networks

Cited by 2 publications

References 5 publications

Self-Organizing Architecture for Information Fusion in Distributed Sensor Networks

Self-Organizing Architecture for Information Fusion in Distributed Sensor Networks

A game theory approach for cooperative control to improve data quality and false data detection in WSN

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