A multi-agent system for meteorological radar data management and decision support

Athanasiadis, Ioannis N.; Milis, Marios; Mitkas, Pericles A.; Michaelides, Silas

doi:10.1016/j.envsoft.2009.04.010

Cited by 26 publications

(15 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Few research works have integrated multi-agent systems into sensor web architectures such as IrisNet [11], Abacus [12], Biswas and Phoha's architecture [13], and SWAP [14]. Most of these architectures identify the need for distributed data collection and processing and propose layered architectures to achieve this.…”

Section: Agent Based Approaches For Sensor Websmentioning

confidence: 99%

A Multi-agent Geosimulation Approach for Sensor Web Management

Mekni

Moulin

2008

2008 Second International Conference on Sensor Technologies and Applications (Sensorcomm 2008)

View full text Add to dashboard Cite

Sensor webs can be thought of as distributed network systems composed of hundreds of resource constrained nodes. Sensor webs are deployed in large scale geographic environments for in-situ sensing and data acquisition purposes. However, interpreting the collected data as well as managing the sensor web has historically been done manually. This task has grown difficult if not impossible due to the complex functionality of modern sensor webs. Current initiatives seek to automate the process of data interpretation and sensor web management. In this paper, we propose a multi-agent geosimulation approach for the management of sensor webs. Our approach is applied in the context of a water resource monitoring project. Current results show the adequacy of our approach to cop with the highly dynamic operating conditions of such an application domain and its inherent distribution of resources.

show abstract

Section: Agent Based Approaches For Sensor Websmentioning

confidence: 99%

A Multi-agent Geosimulation Approach for Sensor Web Management

Mekni

Moulin

2008

2008 Second International Conference on Sensor Technologies and Applications (Sensorcomm 2008)

View full text Add to dashboard Cite

show abstract

“…In [20], several functional agents were designed and implemented as middleware, for example, Tracking Agent, User Agent, Sensor Agent, and Service Provider Agent. In Abacus-an agent-based system for meteorological radar sensors, the agents are a radar agent, a meteorologist agent, an abacus agent, a user interface agent, a database agent, and an alarm agent [21], coordinated through agent communication. In the proposed Sensor Web Agent Platform (SWAP), agents are grouped into three tiers-Sensor Layer, Knowledge Layer, and Application Layer [22].…”

Section: A Web Service Compositionmentioning

confidence: 99%

Coordination Through Geospatial Web Service Workflow in the Sensor Web Environment

Zhang

et al. 2010

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

View full text Add to dashboard Cite

The Sensor Web connects live sensors and Earth Science models (ESM). A workflow is one approach for designing, implementing, and constructing a live link between sensors and ESM. The Sensor Web consists of many individual Web services. A workflow coordinates them to enable bi-directional connectivity between sensors and ESMs. This study uses Business Process Execution Language as the base scripting language to design, author, deploy, and execute workflows. Message-level coordination mechanisms are developed, implemented, and demonstrated in two scenarios-bird migratory modeling and georeferenceable imagery workflow. The advantage of message-level coordination is shortcutting the data flow.Index Terms-Sensor web, workflow, event driven system, earth science model, web service.

show abstract

“…Single data source shared by multiple users are involved different semantics of users, such as radar precipitation data shared by hydrologist and decision maker [27].…”

Section: A Ontology Category and Pattern Matching Technologymentioning

confidence: 99%

Intelligent information sharing in digital watershed modeling for planning and management

Zuo

2010

2010 18th International Conference on Geoinformatics

View full text Add to dashboard Cite

Integrated modeling, planning and management for watershed are complex system problems. Information sharing of digital watershed is a key for integrated modeling, assessment, collaboration, planning and management. This research analyses the methods of information sharing, and presents intelligent information sharing technologies. Framework of watershed integrated modeling, planning and management is given. Ontology category, pattern and process in watershed composition are analyzed. The intelligent agent and service oriented technologies are employed in digital watershed information sharing.Keywords-information sharing; ontology; digital watershed modeling; planning and management; pattern and process.

show abstract

A multi-agent system for meteorological radar data management and decision support

Cited by 26 publications

References 21 publications

A Multi-agent Geosimulation Approach for Sensor Web Management

A Multi-agent Geosimulation Approach for Sensor Web Management

Coordination Through Geospatial Web Service Workflow in the Sensor Web Environment

Intelligent information sharing in digital watershed modeling for planning and management

Contact Info

Product

Resources

About