scholarly journals Enabling Next-Generation Public Safety Operations with Mission-Critical Networks and Wearable Applications

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5790
Author(s):  
Salwa Saafi ◽  
Jiri Hosek ◽  
Aneta Kolackova
Keyword(s):  
Communication Networks ◽  
Public Safety ◽  
Situational Awareness ◽  
Next Generation ◽  
Novel Technologies ◽  
Life Saving ◽  
Mission Critical ◽  
Reliability Performance ◽  
The Impact ◽  
Public Safety Networks

Public safety agencies have been working on the modernization of their communication networks and the enhancement of their mission-critical capabilities with novel technologies and applications. As part of these efforts, migrating from traditional land mobile radio (LMR) systems toward cellular-enabled, next-generation, mission-critical networks is at the top of these agencies’ agendas. In this paper, we provide an overview of cellular technologies ratified by the 3rd Generation Partnership Project (3GPP) to enable next-generation public safety networks. On top of using wireless communication technologies, emergency first responders need to be equipped with advanced devices to develop situational awareness. Therefore, we introduce the concept of the Internet of Life-Saving Things (IoLST) and focus on the role of wearable devices—more precisely, cellular-enabled wearables, in creating new solutions for enhanced public safety operations. Finally, we conduct a performance evaluation of wearable-based, mission-critical applications. So far, most of the mission-critical service evaluations target latency performance without taking into account reliability requirements. In our evaluation, we examine the impact of device- and application-related parameters on the latency and the reliability performance. We also identify major future considerations for better support of the studied requirements in next-generation public safety networks.

scholarly journals LMR and LTE for Public Safety in 700 MHz Spectrum

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Aizaz U. Chaudhry ◽  
Roshdy H. M. Hafez
Keyword(s):  
Communication Networks ◽  
Software Defined Radio ◽  
Public Safety ◽  
Access Network ◽  
Radio Access Network ◽  
Critical Data ◽  
Radio Access ◽  
Look Ahead ◽  
Mission Critical ◽  
Public Safety Networks

This paper presents a concise overview of current public safety communication networks known as LMR (Land Mobile Radio) and emerging LTE- (Long-Term Evolution-) based broadband public safety networks to be deployed in the 700 MHz band. A broadband nationwide network for public safety based on LTE is inevitable where shared or dedicated types of LTE-based public safety networks are possible. Current LTE services do not meet mission-critical requirements and several enhancements have been defined by 3GPP to address this in Releases 12 and 13. First responders are familiar with LMR and consider it to be a reliable technology with massive deployment everywhere. Therefore, it is expected that LMR will continue to exist alongside any new LTE-based broadband public safety network. Recent LTE releases (particularly Release 15) addressed the LMR-LTE interoperability issue and described comprehensive interworking facilities. New and upcoming features and services of LTE in Releases 14 and 15, such as mission-critical data, mission-critical video, and aerial user equipments, are also directly applicable to public safety. The paper endeavours to provide a quick yet meaningful review of all these issues. It also offers a look ahead at the new and rapidly advancing virtualization technologies, such as software-defined radio access network, and radio access network slicing, as enablers for future public safety networks.

On the impact of clustering for Energy critical Public Safety Networks

2019 ◽  
Author(s):  
Hassan Ishtiaq Minhas ◽  
Rizwan Ahmad ◽  
Waqas Ahmed ◽  
Muhammad Mahtab Alam ◽  
Maurizio Magarani
Keyword(s):  
Public Safety ◽  
The Impact ◽  
Public Safety Networks

Antecedents of collaboration and drivers of relational risk in public safety networks

2019 ◽  
Vol 9 (1) ◽  
pp. 56-68
Author(s):  
Katarzyna Sienkiewicz-Małyjurek
Keyword(s):  
Public Safety ◽  
Design Methodology ◽  
Structural Equations ◽  
Added Value ◽  
Content Type ◽  
The Impact ◽  
Relational Risk ◽  
Desk Research ◽  
Relational Risks ◽  
Public Safety Networks

Purpose The purpose of this paper is to identify the inter-related impact of the antecedents of collaboration on the emergence of relational risk and the impact of relational risk on the effectiveness of collaboration in public safety networks (PSNs). Design/methodology/approach The research is based on desk research and a survey questionnaire. The analysis of the results was based on the modelling of structural equations. Findings The analyses indicate how the antecedents of collaboration influence relational risk in PSNs and the extent to which this risk, in turn, may affect the overall effectiveness of collaboration in the networks studied. The findings identify the antecedents that have the greatest impact on the emergence of relational risks, the drivers of relational risk in PSNs and the impact of the drivers of relational risk on collaboration in the networks. Originality/value The study of relational risk is rarely undertaken with little literature or research in the field of public safety. The added value is the identification of the causes of the relational risk among the antecedents of collaboration in PSNs and the analysis of the impact of this risk on the effectiveness of inter-organisational collaboration.

Next generation public safety networks: A spectrum sharing approach

2016 ◽  
Vol 54 (3) ◽  
pp. 30-36 ◽  
Author(s):  
Munawwar M. Sohul ◽  
Miao Yao ◽  
Xiaofu Ma ◽  
Eyosias Y. Imana ◽  
Vuk Marojevic ◽  
...  
Keyword(s):  
Spectrum Sharing ◽  
Public Safety ◽  
Next Generation ◽  
Public Safety Networks

scholarly journals A Reinforcement Learning Routing Protocol for UAV Aided Public Safety Networks

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4121
Author(s):  
Hassan Ishtiaq Minhas ◽  
Rizwan Ahmad ◽  
Waqas Ahmed ◽  
Maham Waheed ◽  
Muhammad Mahtab Alam ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Public Safety ◽  
Multipath Routing ◽  
Cluster Head ◽  
Delivery Ratio ◽  
Aerial Vehicle ◽  
The Impact ◽  
Control Packets ◽  
Public Safety Networks

In Public Safety Networks (PSNs), the conservation of on-scene device energy is critical to ensure long term connectivity to first responders. Due to the limited transmit power, this connectivity can be ensured by enabling continuous cooperation among on-scene devices through multipath routing. In this paper, we present a Reinforcement Learning (RL) and Unmanned Aerial Vehicle- (UAV) aided multipath routing scheme for PSNs. The aim is to increase network lifetime by improving the Energy Efficiency (EE) of the PSN. First, network configurations are generated by using different clustering schemes. The RL is then applied to configure the routing topology that considers both the immediate energy cost and the total distance cost of the transmission path. The performance of these schemes are analyzed in terms of throughput, energy consumption, number of dead nodes, delay, packet delivery ratio, number of cluster head changes, number of control packets, and EE. The results showed an improvement of approximately 42% in EE of the clustering scheme when compared with non-clustering schemes. Furthermore, the impact of UAV trajectory and the number of UAVs are jointly analyzed by considering various trajectory scenarios around the disaster area. The EE can be further improved by 27% using Two UAVs on Opposite Axis of the building and moving in the Opposite directions (TUOAO) when compared to a single UAV scheme. The result showed that although the number of control packets in both the single and two UAV scenarios are comparable, the total number of CH changes are significantly different.

scholarly journals Interpretive structural modelling of inter-agency collaboration risk in public safety networks

2021 ◽  
Author(s):  
Katarzyna Sienkiewicz-Małyjurek
Keyword(s):  
Risk Factors ◽  
Public Safety ◽  
Individual Risk ◽  
Research Approach ◽  
Structural Modelling ◽  
Public Governance ◽  
Interpretive Structural Modelling ◽  
Joint Activities ◽  
The Impact ◽  
Public Safety Networks

AbstractInter-agency collaboration is a well-established, yet very difficult process in public governance. Despite the fact that it is often unsuccessful, collaboration risk research is still undeveloped and the impact of this risk on the effectiveness of joint activities is still underestimated. This issue is of particular significance in public safety networks, where inter-agency collaboration processes are conducted under the conditions of the complexity and uncertainty. For this reason, the article is intended to: (1) identify factors of collaboration risk in public safety networks, (2) determine the impact of individual risk factors on inter-agency collaboration outcomes, (3) identify the relationship between risk factors of inter-agency collaboration in public safety networks, and (4) analyse the growth of this risk in public safety networks. These purposes were achieved using the Systematic Literature Review based on PRISMA Group methodology and Interpretive Structural Modelling together with MICMAC analysis. The applied research approach also has some limitations resulting from the number of experts. However, the results obtained allow us to better understand issues of inter-agency collaboration risk in public safety networks. They identify key collaboration risk factors, such as inappropriate collaboration rules and inadequate allocation of tasks and resources. In consequence, they indicate risk symptoms that are worth keeping track of in order to prevent collaboration ineffectiveness.

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