Intelligent Navigation Systems for Building Evacuation

Görbil, Gökçe; Filippoupolitis, Avgoustinos; Gelenbe, Erol

doi:10.1007/978-1-4471-2155-8_43

Cited by 25 publications

(20 citation statements)

References 9 publications

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“…They also studied low-cost, light-weight and disruption tolerant techniques that can offer robust communications in emergency environments [173], and many of these methods actually span both the military and the civilian domain [36,171,172,186,203].…”

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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“…We have discussed in Section II, relationship between guiding people through safe exits in buildings and routing in communication networks. In [4], researchers have devised navigation system to enable efficient evacuation of buildings in case of emergency. In their approach two kinds of nodes (sensing and decision nodes) facilitate the evacuation of habitants from a building.…”

Section: Related Workmentioning

confidence: 99%

“…Figure 5 shows the decrease of the QoI losses for applications under our PBR protocol as compared to DSDV. In the 2 Priorities: {(5,10), (9,36), (8,64), (16,64), (27,216), (4,16), (10,20)},{(5,10,15), (9,36,81), (8,64,216), (16,64,144), (27,216,729), (4,16,36), (10,20,30)},{ (5,10,15,20), (9,36,81,144), (8,64,216,512), (16,64,144,256), (27,216,729,1728), (4,16,36,64), (10,20,30,40 inte...…”

Section: A Fully Functional Networkmentioning

confidence: 99%

“…Evacuating people from a building in case of emergency without causing a stampede, efficiently routing traffic through heavily used toll booths, evacuating disaster stricken area and large exodus of population from a flood prone area to nearby safe towns all in essence are routing problems. Recently, researchers have started exploring sensor networks for improving building evacuations by designing intelligent building evacuation mechanisms [4], [5], [1] using sensor networks. In this paper, we also focus on the problem of distributed transportation of event driven traffic consisting of items (data packets, cars, people etc.)…”

Section: Introductionmentioning

confidence: 99%

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Price based routing for event driven prioritized traffic in wireless sensor networks

Shah

Szymanski

2013

2013 IEEE 2nd Network Science Workshop (NSW)

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Abstract-We present a dynamic price based routing protocol in which packets from different applications dynamically choose their paths by evaluating the price to be paid for taking each path and their ability to pay. We propose a mechanism in which the prices reflect congestion on routers and thus the waiting time for packet to pass through the router. These prices increase as usage of the usually preferred shorter routes increases. The packet's ability to pay price on a router is defined by the product of application's priority and the delay experienced at the router. As a result, the low priority applications intelligently avoid paths with high prices and go via low price routes. The low price routes may possibly be longer but require shorter waiting for passage at congested routers making them faster for low priority packets. This enables high priority traffic to get through quickly via shorter paths as they are able to pay high prices after little wait. Thus, our approach distributes traffic flows of different applications in the network and lowers congestion and delays for all applications. We further show that our dynamic path allocation technique ensures robust communication in fully functional as well as partially damaged networks. Our dynamic pricing mechanism quickly adapts routing to the damaged network, increases utilization of the partial network to lower the impact on critical infrastructure and key resources. Moreover, our proposed mechanism is equally applicable to both communication networks and physical infrastructure networks.

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“…The second advantage is that a serverless smart exit sign can be installed in an existing building without complex wiring work whereas a server-dependent smart exit sign system requires complex and expensive wiring. Thus far, two groups of researchers have independently developed serverless smart exit sign systems, one in South Korea and the other in the UK [11,12,14]. Both groups have however focused only on the development of algorithms for serverless smart exit sign systems and have not considered the hardware aspects of serverless smart exit sign systems.…”

Section: Introductionmentioning

confidence: 99%

Derivation of the Factors Influencing the Network Performance of Serverless Smart Exit Sign Systems Based on Wireless Sensor Networks

Kim

Lee²,

Cho

2016

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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This paper presents the factors that could potentially affect the reliability of a serverless smart exit sign system, namely an evacuation guidance system based on a wireless sensor network (WSN) without a central server. Serverless smart exit sign system dynamically changes the directions of signs to indicate the shortest safe evacuation paths. Thus, the reliability of these systems is critical. Nevertheless, no research has been conducted to test the reliability of serverless smart exit sign systems. As a first step, we conducted a literature review to analyze the factors that could degrade the network performance of serverless smart exit sign systems. The identified factors were grouped into three categories: physical obstacles, environmental factors, and WSN properties. We plan to develop a prototype of a serverless smart exit sign system and then to conduct experiments to validate the influence of these factors on its network performance.

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Intelligent Navigation Systems for Building Evacuation

Cited by 25 publications

References 9 publications

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Erol Gelenbe: A Career in Multi-Disciplinary Probability Models

Price based routing for event driven prioritized traffic in wireless sensor networks

Derivation of the Factors Influencing the Network Performance of Serverless Smart Exit Sign Systems Based on Wireless Sensor Networks

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