Distributed multi-agent diagnosis and recovery from sensor failures

Long, M.T.; Murphy, Robin R.; Parker, Lynne E.

doi:10.1109/iros.2003.1249246

Cited by 30 publications

(9 citation statements)

References 10 publications

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“…The distributed and decoupled nature of MAS can be interestingly explored to enhance the survivability of the system and make better diagnostic judgments as detailed in [15].…”

Section: Related Workmentioning

confidence: 99%

Exploring the network dimension of diagnosis in Evolvable Production Systems

Ribeiro

Barata

Alves

2010

2010 IEEE 15th Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2010)

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Modern Production Paradigms, supported by stateof-art developments in IT, present major opportunities for the effective implementation of sustainable shop floors. With an increased focus in seamless system reconfiguration most proposals advocate the use of modular and distributed architectures that are dynamic compositions (adaptable and evolvable structures) of cooperating self-contained entities that interact using complex communication patterns with enhanced semantics.These design principles introduce significant diagnostic challenges. The distributed and contained nature of the information renders collective fault events harder to track. Furthermore, current approaches that are adjusted to a more conservative logic-based control, do not provide an adequate response to this problem. This paper proposes an approach to capture the network dynamics of faults in the emergent domain of Evolvable Production Systems (EPS) which implements and extends the beforementioned characteristics.

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“…The distributed and decoupled nature of MAS can be interestingly explored to enhance the survivability of the system and make better diagnostic judgments as detailed in [15].…”

Section: Related Workmentioning

confidence: 99%

Exploring the network dimension of diagnosis in Evolvable Production Systems

Ribeiro

Barata

Alves

2010

2010 IEEE 15th Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2010)

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“…The above-mentioned architectures do not address the sensor web management issue. There is still a need for a solution that provides sensor webs with capabilities for handling such dynamic, spatially distributed, resource-constrained, real-time systems [17].…”

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)

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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.

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“…In the last decade, several researchers have studied faulttolerance for robotic systems (e.g., [1], [7], [11], [10]). However, still missing from this research are standard metrics for evaluating new and existing multi-robot fault-tolerance methods.…”

Section: Introductionmentioning

confidence: 99%

Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams

Kannan

Parker

2007

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Any system that has the capability to diagnose and recover from faults is considered to be a fault-tolerant system. Additionally, the quality of the incorporated fault-tolerance has a direct impact on the overall performance of the system. Hence, being able to measure the extent and usefulness of faulttolerance exhibited by the system would provide the designer with a useful analysis tool for better understanding the system as a whole. Unfortunately, it is difficult to quantify system fault-tolerance on its own for intelligent systems. A more useful metric for evaluation is the "effectiveness" [6] measure of faulttolerance. The influence of fault-tolerance towards improving overall performance determines the overall effectiveness or quality of the system. In this paper, we outline applicationindependent metrics to measure fault-tolerance within the context of system performance. In addition, we also outline potential methods to better interpret the obtained measures towards understanding the capabilities of the implemented system. Furthermore, a main focus of our approach is to capture the effect of intelligence, reasoning, or learning on the effective fault-tolerance of the system, rather than relying purely on traditional redundancy based measures. We show the utility of the designed metrics by applying them to different fault-tolerance architectures implemented for multiple complex heterogeneous multi-robot team applications and comparing system performance. Finally, we contrast the developed metrics with the only other existing method (HWB method [6]) for evaluating (that we are aware of) effective fault-tolerance for multi-robot teams and rate them in terms of their capability to best interpret the workings of the implemented systems. To the best of our knowledge, this is the first metric that attempts to evaluate the quality of learning towards understanding system level fault-tolerance.

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Distributed multi-agent diagnosis and recovery from sensor failures

Cited by 30 publications

References 10 publications

Exploring the network dimension of diagnosis in Evolvable Production Systems

Exploring the network dimension of diagnosis in Evolvable Production Systems

A Multi-agent Geosimulation Approach for Sensor Web Management

Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams

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