Interoperating Infrastructures in Emergencies

Desmet, Antoine; Gelenbe, Erol

doi:10.1007/978-1-4471-4594-3_13

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…Since that time, Erol has devoted a part of his research effort to better understanding the ongoing research of emergency management technologies [163,165], and developing a deeper understanding of the appropriate models and algorithms which are specific to this domain of research [27,28,90,164]. Unfortunately, many aspects of emergency management have a significant overlap with tactical planning of military operations [99,160,161] whose purpose is to destroy the capabilities of an adversary but also to save the lives of friendly forces and evacuate the injured of both sides.…”

Section: Emergency Management Systemsmentioning

confidence: 99%

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Caglayan¹

2016

Prob. Eng. Inf. Sci.

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We focus on Erol Gelenbe's scientific and technical contributions to probability models in the computer and information sciences, but limit our survey to the last fifteen years. We start with a brief overview of his work as a single author, as well as his work in collaboration with over 200 co-authors. We discuss some of his recent and innovative work regarding a new probability model that represents Intermittent Energy Sources for Computing and Communications, introducing Energy Packet Networks which are a probabilistic representation of the flow, storage and consumption of electrical energy at the microscopic level (in electronic chips), and at the macroscopic level (e.g. in buildings or data centers) and for its routing and dynamic usage by consuming units (such as computer elements, chips or machines). We next discuss his work on designing computer and communication systems that parsimoniously use energy in order to achieve a satisfactory level of quality of service (QoS). Trade-offs between system QoS and energy consumption are also considered. Then we turn to Prof. Gelenbe's pioneering work on Autonomic Communications and the design and implementation of CPN, the Cognitive Packet Network, and we also briefly review his spiking random neural network that was used in CPN. This is followed by a brief review of work that he conducted since 1999 on human evacuation from dangerous or catastrophic environments, and the design of technology driven Emergency Management Systems. His research since the late 2000s on Gene Regulatory Networks is then covered together with its application to the detecting possible disease from microarray data. Finally, we briefly discuss some novel analytical models that he developed in this period with publications appearing in journals of physics and applied mathematics.

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Section: Emergency Management Systemsmentioning

confidence: 99%

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Caglayan¹

2016

Prob. Eng. Inf. Sci.

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“…Meanwhile, with the development of smart building and energy-efficient building, the interoperation between different infrastructures and appliances tends to be possible. Inspired by robust infrastructure designing [30] and energy packet networks [43,56,57], an emergency electricity distribution and management system will be investigated to distribute electricity to diverse task efficiently in an emergency environment. G-networks model will be employed because it can predict the number of evacuee at a certain node and benefit the electricity distribution process.…”

Section: Realise Energy Efficiency Management Of Power Distribution I...mentioning

confidence: 99%

“…The convergence process hinders the performance of a distributed system by information synchronization [67] and a full graph search is not necessary because the decisions of an emergency navigation algorithm mainly depend on information provided by strategically located sensors [30]. Therefore, a "self-adaptive" routing algorithm originally used in large-scale and fast-changing packet networks [17] is employed in the sequel to optimise the evacuation process.…”

Section: Introductionmentioning

confidence: 99%

Emergency and Normal Navigation in Confined Spaces

Bi¹

2013

Preprint

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“…While there has been extensive research regarding guidance systems, routing algorithms and efficient task assignment algorithms [6] for emergency evacuation applications, the operation of such systems in degraded conditions often associated with emergencies is generally overlooked. Recent work [7] shows that while a majority of sensors provide information of limited value, only a few strategically located sensors will critically affect the CPHS' performance and the outcome of an evacuation. While relevant analytical methods based on linear control exist to study systems in degraded conditions, in particular reliability and robustness [8,9], redundancy [10,11] and fault-tree analysis [12], these methods do not handle the complex and emergent aspects of a CPHS.…”

Section: Introductionmentioning

confidence: 99%

Graph and analytical models for emergency evacuation

Desmet

Gelenbe

2013

2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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Cyber-Physical-Human Systems (CPHS) combine sensing, communication and control to obtain desirable outcomes in physical environments for human beings, such as buildings or vehicles. A particularly important application area is emergency management. While recent work on the design and optimisation of emergency management schemes has relied essentially on discrete event simulation, which is challenged by the substantial amount of programming or reprogramming of the simulation tools and by the scalability and the computing time needed to obtain useful performance estimates, this paper proposes an approach that offers fast estimates based on graph models and probability models. We show that graph models can offer insight into the critical areas in an emergency evacuation and that they can suggest locations where sensor systems are particularly important and may require hardening. On the other hand, we also show that analytical models based on queueing theory can provide useful estimates of evacuation times and for routing optimisation. The results are illustrated with regard to the evacuation of a real-life building.

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Interoperating Infrastructures in Emergencies

Cited by 6 publications

References 25 publications

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Emergency and Normal Navigation in Confined Spaces

Graph and analytical models for emergency evacuation

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