Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks

Geeth Ranmal De Mel, Wamberto Weber Vasconcelos, Timothy J Norman, Flavio Bergamaschi, Tien Pham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The net-centric ISR/ISTAR networks are expected to play a crucial role in the success of critical tasks such as base perimeter protection, border patrol and so on. To accomplish these tasks in an effective and expedient manner, it is important that these networks have the embedded capabilities to discover, delegate, and gather relevant information in a timely and robust manner. In this paper, we present a system architecture and an implementation that combines a service based reasoning mechanism with a sensor middleware infrastructure so that tasks can be executed efficiently and effectively. A knowledge base, utilising the Semantic Web technologies, provides the foundation for reasoning mechanism that assists users to discover, identify and allocate resources that are made available through the middleware, in order to satisfy the needs of tasks. Once resources are allocated to any given task, they can be accessed, controlled, shared, and their data feeds consumed through the Fabric middleware. We use the semantic descriptions from the knowledge base to annotate the resources (types, capabilities, etc.) in the sensor middleware so that they can be retrieved for reasoning during the discovery and identification phases. The reasoner is implemented as a HTTP web service, with the following characteristics:

1. Computational intensive operations are off-loaded to dedicated nodes, preserving the resources in the ISR/ISTAR networks.

2. HTTP services are accessible through a standard set of APIs irrespective of the reasoner technology used.

3. Support for seamless integration of different reasoners into the system.
Original languageEnglish
Title of host publicationSPIE Defense, Security, and Sensing (DSS 2011)
PublisherSPIE
VolumeSPIE 8047
DOIs
Publication statusPublished - May 2011
Event2011 Defense Security and Sensing - Orlando, United Kingdom
Duration: 25 Apr 201129 Apr 2011

Conference

Conference2011 Defense Security and Sensing
CountryUnited Kingdom
CityOrlando
Period25/04/1129/04/11

Fingerprint

Middleware
Sensor networks
HTTP
Sensors
Semantic Web
Application programming interfaces (API)
Web services
Semantics

Cite this

De Mel, G. R., Vasconcelos, W. W., Norman, T. J., Bergamaschi, F., & Pham, T. (2011). Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks. In SPIE Defense, Security, and Sensing (DSS 2011) (Vol. SPIE 8047). SPIE. https://doi.org/10.1117/12.885476

Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks. / De Mel, Geeth Ranmal; Vasconcelos, Wamberto Weber; Norman, Timothy J; Bergamaschi, Flavio; Pham, Tien.

SPIE Defense, Security, and Sensing (DSS 2011). Vol. SPIE 8047 SPIE, 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

De Mel, GR, Vasconcelos, WW, Norman, TJ, Bergamaschi, F & Pham, T 2011, Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks. in SPIE Defense, Security, and Sensing (DSS 2011). vol. SPIE 8047, SPIE, 2011 Defense Security and Sensing, Orlando, United Kingdom, 25/04/11. https://doi.org/10.1117/12.885476
De Mel GR, Vasconcelos WW, Norman TJ, Bergamaschi F, Pham T. Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks. In SPIE Defense, Security, and Sensing (DSS 2011). Vol. SPIE 8047. SPIE. 2011 https://doi.org/10.1117/12.885476
De Mel, Geeth Ranmal ; Vasconcelos, Wamberto Weber ; Norman, Timothy J ; Bergamaschi, Flavio ; Pham, Tien. / Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks. SPIE Defense, Security, and Sensing (DSS 2011). Vol. SPIE 8047 SPIE, 2011.
@inproceedings{898bc373b22d4389ad4851f74afea90d,
title = "Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks",
abstract = "The net-centric ISR/ISTAR networks are expected to play a crucial role in the success of critical tasks such as base perimeter protection, border patrol and so on. To accomplish these tasks in an effective and expedient manner, it is important that these networks have the embedded capabilities to discover, delegate, and gather relevant information in a timely and robust manner. In this paper, we present a system architecture and an implementation that combines a service based reasoning mechanism with a sensor middleware infrastructure so that tasks can be executed efficiently and effectively. A knowledge base, utilising the Semantic Web technologies, provides the foundation for reasoning mechanism that assists users to discover, identify and allocate resources that are made available through the middleware, in order to satisfy the needs of tasks. Once resources are allocated to any given task, they can be accessed, controlled, shared, and their data feeds consumed through the Fabric middleware. We use the semantic descriptions from the knowledge base to annotate the resources (types, capabilities, etc.) in the sensor middleware so that they can be retrieved for reasoning during the discovery and identification phases. The reasoner is implemented as a HTTP web service, with the following characteristics:1. Computational intensive operations are off-loaded to dedicated nodes, preserving the resources in the ISR/ISTAR networks.2. HTTP services are accessible through a standard set of APIs irrespective of the reasoner technology used. 3. Support for seamless integration of different reasoners into the system.",
author = "{De Mel}, {Geeth Ranmal} and Vasconcelos, {Wamberto Weber} and Norman, {Timothy J} and Flavio Bergamaschi and Tien Pham",
year = "2011",
month = "5",
doi = "10.1117/12.885476",
language = "English",
volume = "SPIE 8047",
booktitle = "SPIE Defense, Security, and Sensing (DSS 2011)",
publisher = "SPIE",

}

TY - GEN

T1 - Service-Oriented Reasoning Architecture For Resource-Task Assignment In Sensor Networks

AU - De Mel, Geeth Ranmal

AU - Vasconcelos, Wamberto Weber

AU - Norman, Timothy J

AU - Bergamaschi, Flavio

AU - Pham, Tien

PY - 2011/5

Y1 - 2011/5

N2 - The net-centric ISR/ISTAR networks are expected to play a crucial role in the success of critical tasks such as base perimeter protection, border patrol and so on. To accomplish these tasks in an effective and expedient manner, it is important that these networks have the embedded capabilities to discover, delegate, and gather relevant information in a timely and robust manner. In this paper, we present a system architecture and an implementation that combines a service based reasoning mechanism with a sensor middleware infrastructure so that tasks can be executed efficiently and effectively. A knowledge base, utilising the Semantic Web technologies, provides the foundation for reasoning mechanism that assists users to discover, identify and allocate resources that are made available through the middleware, in order to satisfy the needs of tasks. Once resources are allocated to any given task, they can be accessed, controlled, shared, and their data feeds consumed through the Fabric middleware. We use the semantic descriptions from the knowledge base to annotate the resources (types, capabilities, etc.) in the sensor middleware so that they can be retrieved for reasoning during the discovery and identification phases. The reasoner is implemented as a HTTP web service, with the following characteristics:1. Computational intensive operations are off-loaded to dedicated nodes, preserving the resources in the ISR/ISTAR networks.2. HTTP services are accessible through a standard set of APIs irrespective of the reasoner technology used. 3. Support for seamless integration of different reasoners into the system.

AB - The net-centric ISR/ISTAR networks are expected to play a crucial role in the success of critical tasks such as base perimeter protection, border patrol and so on. To accomplish these tasks in an effective and expedient manner, it is important that these networks have the embedded capabilities to discover, delegate, and gather relevant information in a timely and robust manner. In this paper, we present a system architecture and an implementation that combines a service based reasoning mechanism with a sensor middleware infrastructure so that tasks can be executed efficiently and effectively. A knowledge base, utilising the Semantic Web technologies, provides the foundation for reasoning mechanism that assists users to discover, identify and allocate resources that are made available through the middleware, in order to satisfy the needs of tasks. Once resources are allocated to any given task, they can be accessed, controlled, shared, and their data feeds consumed through the Fabric middleware. We use the semantic descriptions from the knowledge base to annotate the resources (types, capabilities, etc.) in the sensor middleware so that they can be retrieved for reasoning during the discovery and identification phases. The reasoner is implemented as a HTTP web service, with the following characteristics:1. Computational intensive operations are off-loaded to dedicated nodes, preserving the resources in the ISR/ISTAR networks.2. HTTP services are accessible through a standard set of APIs irrespective of the reasoner technology used. 3. Support for seamless integration of different reasoners into the system.

U2 - 10.1117/12.885476

DO - 10.1117/12.885476

M3 - Conference contribution

VL - SPIE 8047

BT - SPIE Defense, Security, and Sensing (DSS 2011)

PB - SPIE

ER -