Towards middleware based situation awareness

Motus, Leo; Meriste, Merik; Preden, Jürgo-Sören

doi:10.1109/milcom.2009.5379986

Cited by 15 publications

(12 citation statements)

References 4 publications

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“…Besides, the extension to shared context appears in a community of agents to be coordinated. For instance, Motus et al [133,134] describe the team situation awareness concept in the context of multi-agent systems. Here, the situation awareness of an agent needs to be synchronized with the other agents, leading to the creation of this collective and distributed situation awareness.…”

Section: External and Internal Contextmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development of the concept of ''context''. It shows how its fortune in the distributed computing world eventually per-meated in the world of IF, discussing the current strategies and techniques, and hinting possible future trends. IF processes can represent context at different levels (structural and physical constraints of the scenario, a priori known operational rules between entities and environment, dynamic relationships modelled to interpret the system output, etc.). In addition to the survey, several novel context exploita-tion dynamics and architectural aspects peculiar to the fusion domain are presented and discussed.

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Section: External and Internal Contextmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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“…As the communication and processing delays are dynamic, the system must be also able to cope with these variances. In order to manage with these uncertainties we suggest the use of a proactive middleware [13] as an active mediator of data to and from the individual computing nodes. The middleware enables deterministic data exchange between autonomous (sensing) systems according to the constraints set by individual fusion algorithms and devices.…”

Section: Wsn Organizationmentioning

confidence: 99%

Simplified acoustic localization by linear arrays for wireless sensor networks

Astapov

Preden

Berdnikova

2013

2013 18th International Conference on Digital Signal Processing (DSP)

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The application of wireless sensor networks (WSN) for the task of acoustic localization provides great opportunities for distributed cooperative tracking of sound sources in large areas. However WSNs are significantly more limited in terms of computational resources and power than typical computer systems. Therefore the methods applied for acoustic localization in WSN must be optimized for minimal resource consumption. This paper builds on the advances of Steered Response Power with Phase Transform (SRP-PHAT) optimization and proposes a further simplification in terms of additional minimization of the initial search volume. By using several linear microphone arrays we are able to estimate the initial region of sound source and reduce the number of computations by at least one order of magnitude. The results of several experiments on real signals confirm the achieved improvements.

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“…As the communication and processing delays are dynamic, the system must be also able to cope with these variances. In order to manage with these uncertainties we suggest the use of a proactive middleware [20] as an active mediator of data to and from the individual computing nodes. The middleware enables deterministic data exchange between autonomous (sensing) systems according to the constraints set by individual fusion algorithms and devices.…”

Section: A Aspects Of Wsn Organizationmentioning

confidence: 99%

Optimized Acoustic Localization with SRP-PHAT for Monitoring in Distributed Sensor Networks

Astapov¹,

Berdnikova²,

Preden³

2013

International Journal of Electronics and Telecommunications

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Abstract-Acoustic localization by means of sensor arrays has a variety of applications, from conference telephony to environment monitoring. Many of these tasks are appealing for implementation on embedded systems, however large dataflows and computational complexity of multi-channel signal processing impede the development of such systems. This paper proposes a method of acoustic localization targeted for distributed systems, such as Wireless Sensor Networks (WSN). The method builds on an optimized localization algorithm of Steered Response Power with Phase Transform (SRP-PHAT) and simplifies it further by reducing the initial search region, in which the sound source is contained. The sensor array is partitioned into sub-blocks, which may be implemented as independent nodes of WSN. For the region reduction two approaches are handled. One is based on Direction of Arrival estimation and the other -on multilateration. Both approaches are tested on real signals for speaker localization and industrial machinery monitoring applications. Experiment results indicate the method's potency in both these tasks.

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Towards middleware based situation awareness

Cited by 15 publications

References 4 publications

Context-based Information Fusion: A survey and discussion

Context-based Information Fusion: A survey and discussion

Simplified acoustic localization by linear arrays for wireless sensor networks

Optimized Acoustic Localization with SRP-PHAT for Monitoring in Distributed Sensor Networks

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