WSN management in a multi-user secure context

Dragomir, Dan; Voinescu, Andrei; Drăghici, Adriana; Țăpuș, Nicolae

doi:10.1109/roedunet.2013.6511744

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…The workflows combine different information fusion techniques and algorithms integrated into the virtual organization for data processing for a specific case study. To carry out the analysis and prediction of the workflows, statistical techniques based on statistical models are applied to estimate the most appropriate execution flows [21]. The workflows obtained will be presented to the top layer, as a high-level API specific for each service, so that it is possible to use them in an easy and simple way.…”

Section: Workflow Organizationmentioning

confidence: 99%

“…Nowadays, there is a lack of open platforms that integrate new technologies of sensors and that are capable of efficiently fusing information from such networks and have capacities for self-organizing [18, 20, 21]. If we revise the related work, it is possible to find that traditionally WSNs have been developed without considering a management solution that can dynamically adapt to the changes that occur in the environment and the user needs.…”

Section: Related Workmentioning

confidence: 99%

“…This organization contains agents that play roles such as analysis workflow, prediction workflow, and workflow processing. The analysis workflow is responsible for analyzing a given workflow and for creating new workflows in an automatic way [21]. The workflows combine different information fusion techniques and algorithms integrated into the virtual organization for data processing for a specific case study.…”

Section: Proposed Architecturementioning

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: Workflow Organizationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Proposed Architecturementioning

confidence: 99%

See 1 more Smart Citation

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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Underwater Network Management System in Internet of Underwater Things: Open Challenges, Benefits, and Feasible Solution

Lee

et al. 2020

Electronics

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As oceans cover the majority of the earth’s surface, it becomes inevitable in extending the concepts of Internet of Things (IoT) to ocean bodies, thereby tiling the way for a new drift in the digital world, the Internet of Underwater Things (IoUT). The primary objective of IoUT is the creation of a network of several smart interconnected undersea things, to digitally link water bodies by using devices such as autonomous underwater vehicles. Since the traditional ideas of IoT cannot be merely expanded to underwater, due to the difference in environmental characteristics, this puts forward a variety of challenges for scientists to work with IoUT, and one such challenge is the network management with IoUT. This paper gives an overview on (1) underwater network management systems (U-NMS) using acoustic communication in IoUT; (2) the challenges and benefits and use cases of U-NMS; (3) fault, configuration, accounting, performance, security and constrained management (FCAPSC) functionalities of U-NMS and (4) a comparison between network management system in IoT and U-NMS system in IoUT. Additionally, this paper shows the prototype design and implementation setup of U-NMS in a laboratory environment, using lightweight machine to machine (LWM2M) and acoustic communication technology for IoUT. This paper will contribute much to the profit of researchers and industry players in uncovering the critical areas of the Internet of Underwater Things.

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WSN management in a multi-user secure context

Cited by 2 publications

References 4 publications

Self-Organizing Architecture for Information Fusion in Distributed Sensor Networks

Self-Organizing Architecture for Information Fusion in Distributed Sensor Networks

Underwater Network Management System in Internet of Underwater Things: Open Challenges, Benefits, and Feasible Solution

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