Publication | Closed Access
Distributed Sensing for Quality and Productivity Improvements
65
Citations
95
References
2006
Year
EngineeringEmbedded SensingDistributed Data AnalyticsSensing (Management Information Systems)Sensor NetworksSensing (Sensor Engineering)Data ScienceSystems EngineeringInternet Of ThingsProductivity ImprovementsPanel DiscussionMulti-sensor ManagementDistributed Space SystemsOptimal DesignDistributed SystemsSignal ProcessingCollaborative Sensor NetworkSensorsDistributed Sensing
Distributed sensing, a system-wide deployment of sensing devices, creates temporally and spatially dense data‑rich environments that offer unprecedented opportunities for quality and productivity improvement. This paper discusses the state‑of‑the‑art practice, research challenges, and future directions related to distributed sensing. The authors convened a panel of leading researchers and practitioners at INFORMS 2003 to discuss optimal design, information criteria, and processing for distributed sensor systems, focusing on the information‑layer technology for quality and productivity improvements and outlining state‑of‑the‑art practice, research challenges, future directions, and potential applications. The paper presents applications derived from the authors' research experiences. Note to practitioners: this paper is based on a panel discussion about the emerging technology of distributed sensing and its challenges and opportunities.
Distributed sensing, a system-wide deployment of sensing devices, has resulted in both temporally and spatially dense data-rich environments. This new technology provides unprecedented opportunities for quality and productivity improvement. This paper discusses the state-of-the-art practice, research challenges, and future directions related to distributed sensing. The discussion includes the optimal design of distributed sensor systems, information criteria, and processing for distributed sensing and optimal decision making in distributed sensing. The discussion also provides applications based on the authors' research experiences. Note to Practitioners—This paper is based on a panel discussion on the topic of the emerging technology of distributed sensing and the associated challenges and opportunities. The panel, constituted by a group of leading researchers and practitioners with expertise in operations and statistics, convened during the Institute for Operations Research and the Management Sciences (INFORMS) 2003 annual meeting in Atlanta, GA. This panel focused its discussion on the information layer technology of distributed sensing for quality and productivity improvements, which differentiates this panel from other similar panels that were formed in a different society. The panelists provided their visions about the state-of-the-art practice, research challenges, and future research directions, and also discussed potential applications based on their own experiences.
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