Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management

Chen, Lei; Englund, Cristofer

doi:10.1155/2018/7592926

Cited by 19 publications

(11 citation statements)

References 27 publications

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“…For instance, consider autonomous car accidents, where timely reporting of accidents is required for instant first aid. The key stakeholders of the emergency response system are medical services, smart police, road operators, and edge enabled public safety answering points [29]. When an autonomous car crash occurs, time is the most critical parameter.…”

Section: Motivational Scenariosmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

304

131

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Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.

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Section: Motivational Scenariosmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

304

131

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“…For an emergency and disaster management system, service-oriented architecture (SOA) is used in many approaches [18,19]. As discussed above, there are no fixed mechanisms for composition of web services.…”

Section: Component Connectormentioning

confidence: 99%

Incremental Composition Process for the Construction of Component-Based Management Systems

Rana

Bangash

Baz

et al. 2020

Sensors

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Cyber-physical systems (CPS) are composed of software and hardware components. Many such systems (e.g., IoT based systems) are created by composing existing systems together. Some of these systems are of critical nature, e.g., emergency or disaster management systems. In general, component-based development (CBD) is a useful approach for constructing systems by composing pre-built and tested components. However, for critical systems, a development method must provide ways to verify the partial system at different stages of the construction process. In this paper, for system architectures, we propose two styles: rigid architecture and flexible architecture. A system architecture composed of independent components by coordinating exogenous connectors is in flexible architecture style category. For CBD of critical systems, we select EX-MAN from flexible architecture style category. Moreover, we define incremental composition mechanism for this model to construct critical systems from a set of system requirements. Incremental composition is defined to offer preservation of system behaviour and correctness of partial architecture at each incremental step. To evaluate our proposed approach, a case study of weather monitoring system (part of a disaster management) system was built using our EX-MAN tool.are caused by disasters occurring due to the changes in the weather conditions. Hardware devices to read changes in weather situations are readily available by multiple vendors. Hence, a disaster management system based on weather changes is a typical cyber-physical system (CPS) for which a safe and verifiable construction method is needed. A well-defined mechanism for the composition of existing systems into a predictable/verifiable system is the core of such a method. The essence of this composition is to provide a way to reuse existing work.In general, the trend toward reuse in software engineering has increased the importance of composition mechanisms. Program or code reuse is one of the simplest and oldest techniques to reduce the cost by composing existing program units into larger units. The concept of 'software reuse' was first used in 1968 [5]. Software reuse appears at many different levels of solution development, such as code level by reusing programming language constructs (e.g., selection, sequence and looping) [6], functions/services level and data structure level. The next level is the solution domain specific and application domain specific components [7]. Software reuse, being a simple but effective technique for reducing the software development cost, appears in many forms from ad-hoc or white-box to systematic or black-box approaches [8].In the context of the aforesaid, component-based development (CBD) can be used for the construction of management systems in a shorter time. In CBD, software components provide large-scale reuse of their intellectual property, offering reduced development and maintenance cost. Composition must be systematic or hierarchical with fixed semantics from the simplest level o...

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“…The systems that detect and notify about road accidents have been designed and developed for a very long time and have been studied well by the community of engineers and scientists [4,[10][11][12]. In recent years, the applications based on an Intelligent Transport System (ITS) [13] are becoming more data-intensive and ITS-based devices connect to the cloud computing centers to perform data processing using an Internet of vehicles (IoV) [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing

et al. 2019

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With the improvement in transportation infrastructure and in-vehicle technology in addition to a meteoric increase in the total number of commercial and non-commercial vehicles on the road, traffic accidents may occur, which usually cause a high death toll. More than half of these deaths occur due to a delayed response by medical care providers and rescue authorities. The chances of survival of an accident victim could increase drastically if immediate medical assistance is provided at an accident location. This work proposes a low-cost accident detection and notification system, which utilizes a multi-tier IoT-based vehicular environment; principally, it uses V2X Communication and Edge/Cloud computing. In this work, vehicles are equipped with an On-Board Unit (OBU) in addition to mechanical sensors (accelerometer, gyroscope) for reliable accident detection along with a Global Positioning System (GPS) module for identification of accident location. In addition to this, a camera module is implanted on the vehicle to capture the moment when an accident takes place. In order to facilitate inter-vehicle communication (IVC), OBU in each vehicle incorporates a wireless networking interface. Once an accident occurs, a vehicle detects it and generates an alert message. It then sends the message along with the accident location to an intermediate device, placed at the edge of the vehicular network, and therefore called an edge device. Upon receiving the notification, this edge device finds the nearest hospital and makes a request for an ambulance to be dispatched immediately. It also performs some preprocessing of data and effectively acts as a bridge between the sensors installed inside the vehicle and the distant server deployed in the cloud. A significant issue that the traffic authorities are currently facing is the real-time visualization of data obtained through such environments. Wireless interfaces are usually capable of forwarding real-time sensor data; however, this feature is not yet commercially available in the OBU of the vehicle; therefore, practical implementation is carried out using the Internet of things (IoT) in order to create a network among the vehicles, the edge node, and the central server. By performing analysis on the adequate acquired data of road accidents, the constructive plans of action can be devised that may limit the death toll. In order to assist the relevant authorities in performing wholesome analysis of refined and reliable data, a dynamic front-end visualization is proposed, which is hosted in the cloud. The generated charts and graphs help the personnel at relevant organizations to make appropriate decisions based on the conclusive analysis of processed and stored data.

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Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management

Cited by 19 publications

References 27 publications

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Incremental Composition Process for the Construction of Component-Based Management Systems

Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing

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