Emergency Communication System Research Articles

Low-Cost, Open-Source, Experimental Setup Communication Platform for Emergencies, Based on SD-WAN Technology

The rapid advancement of communication technologies underscores the urgent need for robust and adaptable emergency communication systems (ECSs), particularly crucial during crises and natural disasters. Although network-based ECSs have been extensively studied, integrating open-source technologies, such as software-defined wide area networks (SD-WAN) with private long-term evolution (LTE) base stations, is a relatively unexplored domain. This study endeavors to fill this gap by introducing an experimental ECS platform that utilizes a hybrid network, incorporating a VoIP network to enhance open-source and on-premises communications in targeted areas. Our hypothesis posits that a hybrid network architecture, combining SD-WAN and private LTE, can substantially improve the reliability and efficiency of ECSs. Our findings, supported by the open-source OMNeT++ simulator, illuminate the enhanced communication reliability of the network. Moreover, the proposed platform, characterized by autonomous wireless 4G/LTE base stations and an Asterisk VoIP server, demonstrates improved quality of service (QoS) and quality of experience (QoE), with minimal data loss. This research not only has immediate practical applications but also bears significant implications for the development of cost-effective, open-source communication networks, optimized for emergencies, critical infrastructure, and remote areas.

Emergency Communication System for Hills and Forest Region Using IOT

This project presents an innovative approach to establishing robust communication systems in remote areas devoid of traditional network infrastructure. By harnessing the power of IoT and LoRa technology, the project proposes a Long Distance Communication System that not only facilitates connectivity but also supports critical emergency evacuation procedures. The cornerstone of this system is the LoRa Mesh Library, which enables a decentralized network topology, ensuring seamless communication even in the most challenging environments via ad hoc network. The project further explores QoS routing and traffic scheduling within 802.11 wireless mesh networks to guarantee consistent and quality communication links over long distances. Additionally, it integrates Secure IT, a security framework utilizing Firebase, Google Map, and Node.js, to provide real-time location-based alerts, enhancing the safety of individuals in emergency situations.Thisabstractencapsulatestheproject’smultifacetedapproach to overcoming the limitations of current communication infrastructures, offering a scalable, secure, and efficient solution that has the potential to revolutionize connectivity in isolated regions worldwide.

Implementing and developing multi-stage cryptography technique for low-cost long-range communication system

The requirement for a secure emergency communication system has become imperative in tandem with the industrial revolution. Additionally, the development of technology has led to increasingly robust penetration techniques that pose a threat to communication system security, leaving data vulnerable to unwanted third parties. This paper introduces a novel, powerful security approach that ensures a secure emergency communication system. Moreover, this research focuses on several cryptographic techniques among various symmetric and asymmetric ciphers, including advanced encryption standards, substitution, and transposition. The article presents an affordable and secure communication system that can transmit data over long distances with low power consumption using long-range technology. This system features a unique function that transmits updated locations, directing rescuers to the designated location.

Develop a Layered Emergency Communications System

Develop a Layered Emergency Communications System

Construction of integrated platform for emergency clinical scientific research based on big data

To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.

Application of the Third Generation Crime Prevention Through Environmental Design on University Campuses

As a complex of material and spiritual, space and society, the university campus is a relatively complex environment. This paper investigated the effectiveness of the third generation of Crime Prevention Through Environmental Design (CPTED) in reducing crime and enhancing security within educational institutions. The third generation of CPTED emphasizes the integration of advanced technologies, such as access control systems, intelligent sensors and alarms, emergency communication systems, data analysis, and predictive policing, using advanced technologies to enhance security measures on university campuses. This paper aimed to explore the current security level of the university campus, interpret the principle of the third generation CPTED to reduce the crime rate on college campuses and propose a security strategy based on the third generation CPTED for the university campus. The research method of this paper was qualitative, conducting semi-structured interviews with campus security personnel, university administrators, university teachers, and staff of the Universiti Sains Malaysia, using NVivo software, and using thematic analysis methods for data analysis. The findings suggest that traditional campus security measures may not fully address the evolving security challenges facing modern universities. Participants expressed concern about inadequate lighting, limited surveillance coverage, and inadequate emergency response systems. The results of this paper emphasize the technical application of the third generation CPTED, thereby highlighting the practice of the third generation CPTED in university campus security, proposing the basic strategy of a smart campus, and establishing a mobile phone application on the terminal. Strong use of technology to facilitate real-time communications, incident reporting, and emergency response to enhance campus security and ultimately improve the overall security of the university campus.

Energy efficiency maximization for WPT-enabled UAV-assisted emergency communication with user mobility

We investigate the energy efficient communication in the wireless power transfer (WPT)-enabled unmanned aerial vehicle (UAV)-assisted emergency communication system. Specifically, the UAV acts as a base station performs a two-phase task in each time-slot (TS). During the first phase of the TS, frequency division multiple access (FDMA) mode is used to serve multiple mobile users in the downlink. During the second phase, WPT technology is used to charge multiple mobile users on the ground. Due to the limited on-board energy of the UAV, our goal is to maximize the system energy efficiency (EE) by jointly optimizing the UAV trajectory, the information transmit power, the WPT power and the user bandwidth. However, the highly coupled nature of the optimization variables makes the nonconvex problem difficult to solve. In order to solve the problem, a low-complexity alternating iterative optimization algorithm is devised, utilizing block coordinate descent and successive convex approximation techniques. Through simulations, it is demonstrated that the proposed algorithm effectively achieves a balance between system throughput and UAV energy consumption, and can effectively improve the EE of the system compared to the benchmark schemes.

The Influence of Integrated Emergency Response System (SPGDT) Health Education on Pre-Health Services on Residents' Knowledge of Maternal Emergencies in the Work Area of the Plaju Health Center

Background: The Integrated Emergency Management System (SPGDT) is an emergency patient management system consisting of pre-hospital service elements, in-hospital and inter-hospital services. Quick response services to reduce the number of victims and avoid disability, by involving the community, competent health workers (nurses and medical personnel), emergency ambulance services and communication systems. Objective : To determine the effect of SPGDT health education on pre-health services on residents' knowledge of maternal emergencies. Methods : This research was a Quasi Experiment with a nonequivalent pretest-posttest non-control group design which was carried out in July 2023 in the working area of ​​​​the Plaju Palembang Health Center and a sample of 28 people were given health education about SPGDT in pre-health services to residents' knowledge about maternal emergencies. The media used was a booklet compiled by the researcher himself. Data analysis used the Wilcoxon test. Results: Health education statistics on prevention of pregnancy emergencies; Unsafe Abortion in Adolescents is effective in increasing respondents' knowledge with a value of 0.000. Conclusion : statistically health education is effective in increasing respondents' knowledge about SPGDT in Pre-Health Services Against Residents' Knowledge of Maternal Emergencies in the Work Area of ​​​​Plaju Palembang Health Center with a P value of 0.000. Suggestion : Suggestions for further research, namely that further research can be carried out discussing the effectiveness of health education to prevent pregnancy emergencies in pre-health services using other media.

Average intensity of Bessel-Gauss beams propagating through Kolmogorov turbulence with the quadratic structure function.

It is well known that in free space propagations, Bessel-Gauss (BG) beams are non-diffractive, in the sense that over a finite distance the beam mainlobe does not spread. Non-diffraction beams have been found to offer advantages over diffractive beams, for example, in terms of power delivery. However, in random media, such as a turbulent atmosphere, the performance of BG beams is still an active area of research. For example, applying the extended Huygens-Fresnel (EHF) principle results in an intractable expression for the optical field and the average intensity. This work is concerned with finding a closed-form expression for the average intensity of BG beam propagating through weak and strong Kolmogorov turbulence under the quadratic structure function (QSF) assumption. This is achieved by considering the average intensity convolution integral of the free space intensity with the point spread function (PSF). This convolution integral is reduced to a one-dimensional integral that can be easily evaluated in closed form and plotted. Moreover, the beam root mean square (rms) width is also given in terms of one-dimensional integrals. The work presented can be used for assessing the utility of a BG beam for applications in emerging communication systems such as optical wireless communications (OWC).

Emergency Communication System Based on Wireless LPWAN and SD-WAN Technologies: A Hybrid Approach

Emergency Communication Systems (ECS) are network-based systems that may enable people to exchange information during crises and physical disasters when basic communication options have collapsed. They may be used to restore communication in off-grid areas or even when normal telecommunication networks have failed. These systems may use technologies such as Low-Power Wide-Area(LPWAN) and Software-Defined Wide Area Networks (SD-WAN), which can be specialized as software applications and Internet of Things (IoT) platforms. In this article, we present a comprehensive discussion of the existing ECS use cases and current research directions regarding the use of unconventional and hybrid methods for establishing communication between a specific site and the outside world. The ECS system proposed and simulated in this article consists of an autonomous wireless 4G/LTE base station and a LoRa network utilizing a hybrid IoT communication platform combining LPWAN and SD-WAN technologies. The LoRa-based wireless network was simulated using Network Simulator 3 (NS3), referring basically to firm and sufficient data transfer between an appropriate gateway and LP-WAN sensor nodes to provide trustworthy communications. The proposed scheme provided efficient data transfer posing low data losses by optimizing the installation of the gateway within the premises, while the SD-WAN scheme that was simulated using the MATLAB simulator and LTE Toolbox in conjunction with an ADALM PLUTO SDR device proved to be an outstanding alternative communication solution as well. Its performance was measured after recombining all received data blocks, leading to a beneficial proposal to researchers and practitioners regarding the benefits of using an on-premises IoT communication platform.

Design of evanescent mode band-pass filters based on groove gap waveguide technology

This paper proposes for the first time a design method of Chebyshev band-pass filters based on groove gap waveguide (GGW) technology and evanescent mode. The evanescent mode GGW section has been implemented by decreasing the width of the groove area by means of two additional rows of metallic pins, and the filter structure has been obtained by inserting resonators of metallic pins along the central part of this narrower GGW section according to a coupling matrix synthesis method. The proposed method has allowed reducing the analysis number of this band-pass filter during the design process and the computation cost with the electromagnetic (EM) simulator, solving the discretization problem of the different lengths of the evanescent mode section. This design technique has been applied to a fourth-order Chebyshev band-pass GGW filter. The design has been performed in the recommended band of the WR75 standard (10 GHz – 15 GHz). The design specifications have been a central frequency f0=12 GHz, a fractional bandwidth FBW = 2.5 % and return loss RL = 20 dB. Measurement and electromagnetic (EM) simulation results have shown a good agreement. Return and insertion losses in the pass-band region of the measured prototype have been, respectively, RL = 20 dB and IL = 0.3 dB, while maximum attenuation in the stop-band regions reached ASB = 83 dB. A comparison has been performed between the measured prototype and other GGW band-pass filters. The proposed GGW band-pass filter has been shown to have reduced size and high-performance characteristics. Future emerging communications systems could benefit from this evanescent mode GGW Chebyshev band-pass filter.

Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach

During natural disasters, emergency communication systems become overloaded, and people are forced to turn to social media to make requests for help. This study employs machine learning and artificial intelligence to automatically detect, identify, and categorize tweets relevant to first responders during Hurricane Harvey. We curate a dataset of tweets, present a labeling scheme based on relevance and urgency, and develop neural and non-neural machine learning models to automatically categorize tweets. Our best relevance classifiers, language models BERT and XLNet, perform significantly better than non-neural models and the deep convolutional neural network (CNN) and achieve comparable F1 scores. Ultimately, this study furthers machine learning and crisis communication research by developing methods to automatically categorize tweets that can signal to first responders of individuals’ requests for help in urgent, life-threatening disasters. Our work also finds large pretrained language models promising for the development of well-performing disaster tweet classifiers in future work.

Trans-UTPA: PSO and MADDPG based multi-UAVs trajectory planning algorithm for emergency communication.

Communication infrastructure is damaged by disasters and it is difficult to support communication services in affected areas. UAVs play an important role in the emergency communication system. Due to the limited airborne energy of a UAV, it is a critical technical issue to effectively design flight routes to complete rescue missions. We fully consider the distribution of the rescue area, the type of mission, and the flight characteristics of the UAV. Firstly, according to the distribution of the crowd, the PSO algorithm is used to cluster the target-POI of the task area, and the neural collaborative filtering algorithm is used to prioritize the target-POI. Then we also design a Trans-UTPA algorithm. Based on MAPPO 's policy network and value function, we introduce transformer model to make Trans-UTPA's policy learning have no action space limitation and can be multi-task parallel, which improves the efficiency and generalization of sample processing. In a three-dimensional space, the UAV selects the emergency task to be performed (data acquisition and networking communication) based on strategic learning of state information (location information, energy consumption information, etc.) and action information (horizontal flight, ascent, and descent), and then designs the UAV flight path based on the maximization of the global value function. The experimental results show that the performance of the Trans-UTPA algorithm is further improved compared with the USCTP algorithm in terms of the success rate of each UAV reaching the target position, the number of collisions, and the average reward of the algorithm. Among them, the average reward of the algorithm exceeds the USCTP algorithm by 13%, and the number of collisions is reduced by 60%. Compared with the heuristic algorithm, it can cover more target-POIs, and has less energy consumption than the heuristic algorithm.

Emergency Voice Communication Systems – Analysis of Normative and Legal Documents

Cel: The purpose of this article is to present the results of ongoing theoretical research – the evaluation of normative and legal documents in the area of emergency voice communication. The research was aimed at analysing and comparing the operation of emergency communication systems (SKA) in selected countries and the possibility of their wider use in construction objects in Poland. The utilitarian purpose of the publication is a discussion that should contribute to the development of appropriate standards for ensuring the proper level of reliability of such installations and the safety of those who use them. Wprowadzenie: Emergency communication systems enable communication between locations in a building that are critical for conducting evacuation and rescue, as well as firefighting operations and a central location in the building object (e.g. the fire equipment service room) that provides control and support for these processes. They can be used to communicate with people with different types and degrees of disabilities, who are in survival areas, firefighters/rescuers in the fire vestibules of lifts for rescue teams or stairwells, and stewards at sporting events. Their use in Poland is not common, but increasingly required by the investors. Metodologia: The authors used theoretical research, such as analysis of literature and legal documents, synthesis, generalization, inference, comparison and analogy. Documents from Poland, the United Kingdom, Germany and the United States were analysed. The selection of individual countries was guided by the level of development of these systems in the given country and the availability of source documents. Wnioski: Up until now SKA installations are not widespread in our country. However, an increasing demand for such installations is to be expected, especially given changes in the attitudes toward ensuring the safety of people with various disabilities, as well as, perhaps to a somewhat lesser extent, the emerging need to support the communication of the rescue teams, especially in buildings with very high heights. So far, emergency communication systems have been used mainly for utility purposes under normal operating conditions of a construction object. Thus there are no national regulations or standards on the requirements for such installations to function under fire conditions. Słowa kluczowe: evacuation of buildings, safety of evacuation, fire intercoms, emergency communication systems

Architecture of Emergency Communication Systems in Disasters through UAVs in 5G and Beyond

Unmanned aerial vehicles (UAVs) are valued in 5G and 6G networks due to their communication capabilities, low cost, and flexible deployment. Recently, UAV-aided emergency networks in disasters have been designed where one single large UAV is used. Compared with a single large UAV, Flying Ad Hoc Networks (FANETs) with small UAVs have many benefits. Therefore, instead of a single large UAV, a FANET is proposed in this paper. To take full advantage of their services, UAVs must be able to communicate efficiently with each other and with existing networking infrastructures. However, high node mobility is one of the main characteristics of FANETs, which can result in rapid topology changes with frequent link breakage and unstable communications that cause collision and packet loss. As an alternative, networks can be broken up into smaller groups or clusters to control their topology efficiently and reduce channel contention. In this study, a novel cluster-based mechanism is proposed for FANETs. The process of cluster management is described. The IEEE 802.11 backoff method is specifically intended for direct communications and is not appropriate for cluster-based communications. Therefore, a new backoff mechanism is proposed based on cluster size to optimize performance. An analytical study using the Markov chain model is presented to explore the performance of the proposed mechanism. The study takes into account Nakagami-m fading channels. Performance-influencing parameters are taken into consideration and the relationships among these parameters as well as performance metrics such as throughput, packet dropping rate, outage probability, and delay are obtained. Furthermore, simulation results are provided which verify the analytical studies. A quantitative comparison with current cluster-based methods is also presented. The simulation results show that the suggested technique enhances system performance and complies with the safety message delay constraint of 100 ms.

A construction and inspection technology of power emergency communication system based on Beidou

In order to improve the real-time performance of information transmission of power emergency communication system, the construction and inspection technology of power emergency communication system based on Beidou is proposed in this paper. Firstly, the differences between heterogeneous networks are described based on Beidou short message. Then, the fusion probability of heterogeneous network is calculated, and the optimal communication channel is obtained. Next, communication channel link is established, and the maximum transmission range is described. In addition, the network capacity is calculated, the congestion avoidance model is established, the bandwidth is obtained by defining the interference index of the information transmission channel, the total load during the construction and inspection process is calculated, and the construction and inspection of the power emergency communication system are realized.. Experimental results show that the proposed technology has better performance in information utilization, network throughput and system response time.

Resource allocation for UAV-assisted 5G mMTC slicing networks using deep reinforcement learning

The Internet of Things (IoT) application scenarios is becoming extensive due to the quick evolution of smart devices with fifth-generation (5G) network slicing technologies. Hence, IoTs are becoming significantly important in 5G/6G networks. However, communication with IoT devices is more sensitive in disasters because the network depends on the main power supply and devices are fragile. In this paper, we consider Unmanned Aerial Vehicles (UAV) as a flying base station (BS) for the emergency communication system with 5G mMTC Network Slicing to improve the quality of user experience. The UAV-assisted mMTC creates a base station selection method to maximize the system energy efficiency. Then, the system model is reduced to the stochastic optimization-based problem using Markov Decision Process (MDP) theory. We propose a reinforcement learning-based dueling-deep-Q-networks (DDQN) technique to maximise energy efficiency and resource allocation. We compare the proposed model with DQN and Q-Learning models and found that the proposed DDQN-based model performs better for resource allocation in terms of low transmission power and maximum energy efficiency.

ASSESSMENT OF PREVENTIVE MEASURES ON FIRE SAFETY: CASE STUDY, ACCRA TECHNICAL UNIVERSITY

The study was set to assess the preventive measures of fire safety: case study, Accra Technical University. The research intends explicitly to identify the main causes of fire outbreaks, identify some effective measures to assess fire safety and give the best recommendations to overcome fire outbreaks at the university. The mixed method was adopted, comprising quantitative and qualitative methods for this research. A quantitative approach was used through field survey questionnaire distribution on the Google form platform to students and staff of Accra Technical University. The qualitative data was obtained through critical action research, including physical observation, which paved the way to gain in-depth knowledge about the existing fire safety measure at the Accra Technical University through narrative analysis. The data was analysed using IBM SPSS Version 26.0 for Windows, and Microsoft Excel generated frequencies percentages in tables where descriptive statistics were performed. The study revealed that power fluctuation, electrical appliance overload, lack of maintenance of electrical wiring, and the negligence of individuals were the main attributes. The study recommends regular firefighting audits, adequate fire safety awareness, fire alarms and smoke detection systems; proper electrical wiring requires regular attention. However, the university authorities should commend an emergency communication system and fire exits for overcoming fire outbreak eventualities.

Voronoi-Based UAV Flight Method for Non-Uniform User Distribution in Delay-Tolerant Aerial Networks

This paper considers an emergency communication system controlling multiple unmanned aerial vehicles (UAVs) in the sky over a large-scale disaster-affected area. This system is based on delay-tolerant networking, and information from ground users is relayed by the UAVs through wireless transmission and the movement of UAVs in a store-and-forward manner. Each UAV moves autonomously according to a predetermined flight method, which uses the positions of other UAVs through communication. In this paper, we propose a new method for UAV flight considering the non-uniformity of user distributions. The method is based on the Voronoi cell using the predicted locations of other UAVs. We evaluate the performance of the proposed method through computer simulations with a non-uniform user distribution generated by a general cluster point process. The simulation results demonstrate the effectiveness of the proposed method.

Descripción general de comunicaciones habilitadas por UAV en escenarios de emergencia posterior a un desastre

Maintaining communications and providing services to users is crucial after a natural disaster due to the damage to traditional communications networks. Emergency networks using UAVs solve this problem due to their rapid deployment. This article presents an overview of the challenges and solutions related to the feasibility of emergency communication systems in different scenarios, path planning, and positioning. Besides, It describes the technologies to realize the core and implemented networks associated with UAVs.