Integrated peer-to-peer applications for advanced emergency response systems. Part II. Technical feasibility

Bahora, A.S.; Collins, Tim; Davis, S.; Goknur, Sinan; Kearns, James; Lieu, T.; Nguyên, Toàn; Zeng, Jianhao; Horowitz, Barry M.; Patek, Stephen D.

doi:10.1109/sieds.2003.158033

Cited by 6 publications

(2 citation statements)

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“…The system as a whole is generally referred to as the ANI/ALI system (Phillips, 2005). Small‐scale and local environmental emergency events can usually be handled by public emergency services, however, a large‐scale environmental emergency such as strong earthquake, extensive flood, biochemical attack or severe nuclear radiation escape, is a more complicated situation can block and disable is vital to effective response (Bahora et al , 2003). Another challenge for the 9‐1‐1 services is that wireless and VoIP networks have problem to transmit location data in a standard manner, because VoIP users can log into the internet from any location in the world, calls to 9‐1‐1 can originate where there is no fixed location for the caller (Shaw, 2006).…”

Section: Background and Research Resultsmentioning

confidence: 99%

A mobile‐based emergency response system for intelligent m‐government services

Amailef

2011

Journal of Enterprise Information Management

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PurposeThe purpose of this paper is to present an intelligent mobile based emergency response system (MERS) framework, a text information extraction and aggregation algorithm to integrate information from multiple sources in the MERS system, and an ontology‐supported case‐based reasoning system for the MERS system.Design/methodology/approachThe paper explains the components of information extraction and aggregation process, and a CBR‐Ontology approach for the MERS system.FindingsThe result of this study will offer a new opportunity to the interaction between government, citizens, responders, and other non‐government agencies in emergency situations, and therefore improve the services of the government in an emergency situation.Originality/valueThe paper indicates the need for usage of mobile technologies to assist the government to get information and make decisions in responding to disasters anytime and anywhere.

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Section: Background and Research Resultsmentioning

confidence: 99%

A mobile‐based emergency response system for intelligent m‐government services

Amailef

2011

Journal of Enterprise Information Management

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“…Especially for first response communication there is already a bunch of prototypes, e.g. by University of Virginia [10], they identified three main issues in current first response approaches and developed a prototype for a P2P based first response solution. Further implementation of their P2P solution is done using hypercast, GPS capabilities, multicast streaming video and access control mechanism.…”

Section: Related Workmentioning

confidence: 99%

First response communication sandbox

Bradler

Schweizer

Panitzek

et al. 2008

Proceedings of the 11th Communications and Networking Simulation Symposium

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First response communication is tackled by several independent research groups. While there are existing prototypes and simulated results, comparison of first response solutions is hardly possible so far. We have built an universal XML based description format to handle all relevant settings and actions typical for first response scenarios. In addition we implemented a user-friendly movement and environment simulator which interacts with the network simulation on top of the simulated movement. The chosen data structure have proven to be well suited for describing settings and actions found in a first response scenario. The simulator combines movement and network simulation and therefore enables both, fine grained movement models and location aware network models with reciprocal interdependencies. The simulation results of the chosen communication approach are therefore finer grained than using a network or movement simulator separately. MOTIVATIONEfficient communication infrastructures are vital especially for handling larger scale disasters on site. Existing communication mechanisms have difficulties in case of damaged or destroyed infrastructure. The self organizing capabilities of P2P enable fast deployment without the need of manual configuration of individual peers. Some of the existing P2P solutions e.g. Groove Office [1] are already successfully used within first response situations. Especially in unreliable and fast changing environments with limited infrastructure, P2P technology can be used as a basis for communication infrastructures. In this paper, we present a movement simulator which tightly, but not exclusively, interacts with the P2P simulator PlanetSim [2]. Although there are other movement simulators (such as [3] or [4]), they are often hard to tailor into the specifics of first response mobile P2P networks. We have developed a behavior based peer movement model, which is especially used to evaluate communication paradigms in a first response scenario. Our contribution is an extensible discrete simulation framework which supports feedback loops from the movement simulation to the network simulation and vice versa. The simulation framework especially enables a detailed analysis of the reciprocal dependencies of wireless networks and moving peers. Figure 1 shows the work flow, which is used to describe a scenario setup including dynamic network traffic and peer movement data. Please note that further steps can be implemented at any time. Figure 1. XML WorkflowThe simulation starts from the static world model, which describes the disaster settings. The world model is enriched by acquired movement data as well as simulated network data, which can be added iteratively. This paper is organized following the structure of the proposed workflow. In section 2. we present the basic description of the data structure for disaster simulation. This is divided in three parts: World Model, Movement Data and Network Data. Section 3. presents the approach of the movement simulation layer, which is divided in the e...

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Mobile-Based Emergency Response System Using Ontology-Supported Information Extraction

Amailef

2012

Handbook on Decision Making

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Integrated peer-to-peer applications for advanced emergency response systems. Part II. Technical feasibility

Cited by 6 publications

References 1 publication

A mobile‐based emergency response system for intelligent m‐government services

A mobile‐based emergency response system for intelligent m‐government services

First response communication sandbox

Mobile-Based Emergency Response System Using Ontology-Supported Information Extraction

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