Net-centric information and knowledge management and dissemination for data-to-decision C2 applications using intelligent agents and service-oriented architectures

Mayk, Israel; Regli, William C.; Nguyen, Duc-Toan; Mai, M.; Chan, Albert; Urness, Todd; Goren, Bernard; Kizenko, S.; Randles, S.; Jastrebski, Z.; Ruschmeyer, J.; Lehman, Lex; McCurdy, Matthew R.; Millar, David; Simmons, I.; Cannon, Christopher T.; Kopena, Joseph B.; Patwardhan, Anand; Tassone, G.; Lindquist, Jack; Jewell, Greg; Forkenbrock, R.; Nicholson, MJ; Koss, F.; Wray, Robert E.; Bradshaw, Jeffrey M.; Lott, James

doi:10.1109/milcom.2011.6127531

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…In the course of this paper, the authors used the ASRA to develop an overall architecture for system for network-centric command and control. This underlying design and implementation for the tactical information technologies for assured network operations (TITAN) program [48], [49] was based on heterogeneous agents and web services that provided information management and dissemination services in support of military planning and operations. The ASRA provided the overarching methodology for making architectural decisions as to how to design and implement various functional concepts at the overall, systems-level.…”

Section: Summary Of Resulting Architecturementioning

confidence: 99%

Development and Specification of a Reference Architecture for Agent-Based Systems

Regli

Mayk

Cannon

et al. 2014

IEEE Trans. Syst. Man Cybern, Syst.

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The recent growth of agent-based software systems was achieved without the development of a reference architecture. From a software engineering standpoint, a reference architecture is necessary to compare, evaluate, and integrate past, current, and future agent-based software systems. The agent systems reference architecture (ASRA) advances the agent-based system development process by providing a set of key interaction patterns for functional areas that exist between the layers and protocols of agent-based systems. Furthermore, the ASRA identifies the points for interoperability between agent-based systems and increases the level of discussion when referring to agent-based systems. This paper presents methodology, grounded in software forensics, to develop the ASRA and provides an overview of the resulting architectural representation. The methodology uses an approach based on software engineering techniques adapted to study agent frameworks-the libraries and tools for building agent systems. The resulting ASRA can serve as an abstract representation of the components necessary for facilitating comparison, integration, and interoperation of software systems composed of agents.

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Section: Summary Of Resulting Architecturementioning

confidence: 99%

Development and Specification of a Reference Architecture for Agent-Based Systems

Regli

Mayk

Cannon

et al. 2014

IEEE Trans. Syst. Man Cybern, Syst.

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“…Military tactical WSNs, as a rule, must cope with disruptive communication and random communication delays, 24 changing topology and composition of network, 3 dynamically changing rules and goals 25 and asynchronously operating heterogeneous nodes. Tactical WSNs must be disruption-tolerant networks (DTNs) that can cope with the fragmentary connectivity of nodes, no guarantee of successful end-to-end message transfer and malicious cyber-physical attacks.…”

Section: Related Workmentioning

confidence: 99%

“…In the case of distributed data fusion, the data from respective sensor nodes are collected by a prefixed sensor/fusion node that performs the fusion process and distributes the result to data consumers. Examples of distributed data fusion in WSNs are described in Mayk et al, 3 Bahrepour et al 35 and Lai et al, 36 where events detected and sensor readings collected by individual sensor nodes are assembled by a fusion node. These references do not discuss the consistency and validity of the inputs for the fusion algorithms.…”

Section: Distributed Data Fusion and Aggregation In Wsnmentioning

confidence: 99%

“…1 Traditional data aggregation 2 is a predecessor of these paradigms, but in its classical form is not enough for IoT applications, because the traditional flow of data from network edge (sensor nodes) to centre (databases) remains. According to the D2D concept, 3 relevant data are identified in the network and delivered to decision makers and fashioned to their current data needs, which are derived from the specific decisions that they need to make. Mist computing characterises the architecture where computation occurs not only in the cloud but also in end nodes, such as sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

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Situation awareness via Internet of things and in-network data processing

Ehala

Kaugerand

Pahtma

et al. 2017

International Journal of Distributed Sensor Networks

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Computing on the edge of the Internet of things comprises among other tasks in-sensor signal processing and performing distributed data fusion and aggregation at network nodes. This poses a challenge to distributed sensor networks of low computing power devices that have to do complex fusion, aggregation and signal processing in situ. One of the difficulties lies in ensuring validity of data collected from heterogeneous sources. Ensuring data validity, for example, the temporal and spatial correctness of data, is crucial for correct in-network data fusion and aggregation. The article considers wireless sensor technology in military domain with the aim of improving situation awareness for military operations. Requirements for contemporary intelligence, surveillance and reconnaissance applications are explored and an experimental wireless sensor network, designed to enhance situation awareness to both in-the-field units and remote intelligence operatives, is described. The sensor nodes have the capability to perform in-sensor signal processing and distributed in-network data aggregation and fusion complying with edge computing paradigm. In-network data processing is supported by service-oriented middleware which facilitates run-time sensor discovery and tasking and ad hoc (re)configuration of the network links. The article describes two experiments demonstrating the ability of the wireless sensor network to meet intelligence, surveillance and reconnaissance requirements. The efficiency of distributed data fusion is evaluated and the importance and effect of establishing data validity is shown.

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Enterprise integration via CORBA-based information agents

Dabke

1999

IEEE Internet Comput.

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Net-centric information and knowledge management and dissemination for data-to-decision C2 applications using intelligent agents and service-oriented architectures

Cited by 7 publications

References 14 publications

Development and Specification of a Reference Architecture for Agent-Based Systems

Development and Specification of a Reference Architecture for Agent-Based Systems

Situation awareness via Internet of things and in-network data processing

Enterprise integration via CORBA-based information agents

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