A Sensor Web Simulator for Design of New Earth Science Observing Systems

Seablom, Michael; Talabac, Stephen; Ardizzone, J.; Terry, Julian

doi:10.1109/igarss.2008.4780087

Cited by 3 publications

(5 citation statements)

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“…Future work can be pursued in other ways to add models in the sensor data generation component. This models mathematically approaching to the real behavior of sensors in a specific environment, as shown in [7]. Or to add real models of sensor nodes like [16].…”

Section: Discussionmentioning

confidence: 99%

“…In this context, [7], [8] present an sensor web simulator based upon the nextgeneration weather observing system architecture, that would objectively assess the scientific value of a fully functional model-driven meteorological sensor web. This work focuses on the description of the approach and the estimation of data volumes.…”

Section: Simulation Emulation and Prototype Environments Of The mentioning

confidence: 99%

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A discrete-event simulator for the web of things from an information retrieval perspective

Manta-Caro

Fernández‐Luna

2014

2014 IEEE Latin-America Conference on Communications (LATINCOM)

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Simulators are an essential tool for researching and developing new systems, architectures or protocols. They have played a key role in the history of the Internet and the Web. This paper highlights the view that the simulation-based research will continue to take part in the evolution of paradigms associated with the Internet and the Web of Things. In this work, we present a simulator whose ultimate goal is to encapsulate the model and the expected dynamics of the Web of Things, for the development of Information Retrieval systems given the new evolutionary challenges to face. The simulation model is based on the automatic generation of a collection of XML documents, which contain spatio-temporal contexts and extensive textual information with highly dynamic dimensions. The simulator is characterized among other proposals for its flexibility and versatility to represent different real-world scenarios, constructed from entities with generic qualities and a unique perspective from information retrieval.

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Section: Discussionmentioning

confidence: 99%

Section: Simulation Emulation and Prototype Environments Of The mentioning

confidence: 99%

A discrete-event simulator for the web of things from an information retrieval perspective

Manta-Caro

Fernández‐Luna

2014

2014 IEEE Latin-America Conference on Communications (LATINCOM)

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“…The GIS data is then deconstructed and combined to generate virtual geographic environments (VGE). Further lines of future work could also be followed in other ways to add models to the sensor data generation component by incorporating sensor behavior models with mathematical approaches to real data in specific environments as in [Seablom 2008] or models based on real sensor node implementations as in [Dhoutaut 2013]. In future research, it is important to study and evaluate the prediction models in the sensor layer since these could have a significant effect and impact on IR system design.…”

Section: Discussionmentioning

confidence: 99%

“…We then distinguish the Web of Objects-centric category. Firstly, in the Web of Sensors, various papers focus on describing the approach and estimating data volumes to perform resource analysis [Mekni and Graniero 2010] or building prediction models for the weather, for example [Seablom 2008] and [Talabac 2010]. The Sensor Web paradigm in terms of modeling and data assimilation has evolved remarkably since its first conception in 2005, and it can be a useful basis for a WoT simulator but adding a vision focusing on real-world things rather than physical phenomena.…”

Section: Related Work and Evaluation Environments Of The Web Of Thingsmentioning

confidence: 99%

LDA-based term profiles for expert finding in a political setting

et al. 2021

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Internet and Web technologies have changed our lives in ways we are not yet fully aware of. In the near future, Internet will interconnect more than fifty billion things in the real world, nodes will sense billions of features and properties of interest, and things will be represented by web-based, bi-directional services with highly dynamic content and real-time data. This is the new era of the Internet and the Web of Things. Since the emergence of such paradigms implies the evolution and integration of the systems with which they interact, it is essential to develop abstract models for representing and simulating the Web of Things in order to establish new approaches. This paper describes a Web of Things model based on a structured XML representation. We also present a simulator whose ultimate goal is to encapsulate the expected dynamics of the Web of Things for the future development of information retrieval (IR) systems. The simulator generates a real-time collection of XML documents containing spatio-temporal contexts and textual and sensed information of highly dynamic dimensions. The simulator is characterized by its flexibility and versatility for representing real-world scenarios and offers a unique perspective for information retrieval. In this paper, we evaluate and test the simulator in terms of its performance variables for computing resource consumption and present our experimentation with the simulator on three real scenarios by considering the generation variables for the IR document collection.

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“…In particular, the concept of SensorWeb was extensively studied and was later the topic of several NASA Earth Science Technology Office (ESTO) solicitations and awards; for example, the weather prediction technology study to identify the science applications and technology improvements needed to aim for weather forecasts of 10-14 days in the 2025 timeframe. It was followed by the development of an "Architecture for Advanced Weather Prediction Technologies, in 2008, using a twoway interactive SensorWeb and modeling system" [2]. Other projects dealt with the application of SensorWebs to disaster management [3]- [5].…”

mentioning

confidence: 99%

A New Taxonomy for Distributed Spacecraft Missions

Moigne

Adams²,

Nag

2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Due to many technical and programmatic changes, distributed spacecraft missions (DSMs) and constellations are becoming more common, both in national space agencies as well as in industry and academia. These changes are the results of various driving factors, such as maturing technologies, minimizing costs, and new science requirements. But they are also made possible by the availability of easier and more frequent launches and the capability to handle increased requirements in terms of scalable mission operations and "big" data analytics on the ground and onboard. With the increase in this type of missions and with the need to connect and interrelate all the data that will be generated by these various missions as well as with the data acquired from ground and airborne sensors, there is a need to define more accurately all the terms used in relation to DSMs. This article presents a terminology including various definitions that describe DSMs and related concepts, their organization, physical configuration, and functional configuration, as well as a taxonomy from which DSMs can be designed.

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A Sensor Web Simulator for Design of New Earth Science Observing Systems

Cited by 3 publications

References 0 publications

A discrete-event simulator for the web of things from an information retrieval perspective

A discrete-event simulator for the web of things from an information retrieval perspective

LDA-based term profiles for expert finding in a political setting

A New Taxonomy for Distributed Spacecraft Missions

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