IoT-based Disaster Management System on 5G uRLLC Network

Franchi, Fabio; Marotta, Andrea; Rinaldi, Claudia; Graziosi, Fabio; D'Errico, Leonardo

doi:10.1109/ict-dm47966.2019.9032897

Cited by 17 publications

(9 citation statements)

References 5 publications

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“…Efficient data transfer with limited bandwidth and limited battery life are also other critical weaknesses in mobile crowdsensing. Massive IoT implementation under 5G architecture can facilitate MCS-based solutions [ 70 ], but this requires ultra-reliable low-latency communication (URLLC) and assessment of data veracity in real time over URLLC links [ 71 ]. The overview of the existing crowdsensing solutions in disaster situations has also presented some ideas on the open issues in mobile crowdsensing architecture in general.…”

Section: Open Issues and Challengesmentioning

confidence: 99%

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Cicek

Kantarcı

2023

Sensors

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With the increasing efforts to utilize information and communication technologies (ICT) in disaster management, the massive amount of heterogeneous data that is generated through ubiquitous sensors paves the way for fast and informed decisions in the case of disasters. Utilization of the big “sensed” data leads to an effective and efficient management of disaster situations so as to prevent human and economic losses. The advancement of built-in sensing technologies in smart mobile devices enables crowdsourcing of sensed data, which is known as mobile crowdsensing (MCS). This systematic literature review investigates the use of mobile crowdsensing in disaster management on the basis of the built-in sensor types in smart mobile devices, disaster management categories, and the disaster management cycle phases (i.e., mitigation, preparedness, response, and recovery activities). Additionally, this work seeks to unveil the frameworks or models that can potentially guide disaster management authorities towards integrating crowd-sensed data with their existing decision-support systems. The vast majority of the existing studies are conceptual as they highlight a challenge in experimental testing of the disaster management solutions in real-life settings, and there is little emphasis on the use cases of crowdsensing through smartphone sensors in disaster incidents. In light of a thorough review, we provide and discuss future directions and open issues for mobile crowdsensing-aided disaster management.

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Section: Open Issues and Challengesmentioning

confidence: 99%

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Cicek

Kantarcı

2023

Sensors

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Section: Related Workmentioning

confidence: 99%

“…Many authors have proposed solutions for 5G networks with numerous coexisting IoT devices and URLLC services [3,13,[34][35][36][37][38][39][40][41][42][43][44]. The authors of [3,[39][40][41][42] proposed mechanisms for bandwidth resource allocation, differentiation of access time, or frequency reuse in the RAN of 5G networks to enable the provision of multiple service types by reducing the probability of access collisions and increasing the efficiency of bandwidth use. Pokhrel et al [3] indicated that even a network dominated by IoT services may require handling short-term emergencies, such as those at large-scale disaster sites or the wireless monitoring of factory automation, in which quality requirements are similar to those of URLLC.…”

Section: Related Workmentioning

confidence: 99%

Network Slicing for mMTC and URLLC Using Software-Defined Networking with P4 Switches

Hwang

Shen

et al. 2022

Electronics

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Massive machine-type communication (mMTC) and ultra-reliable low-latency communication (URLLC) are two key services in fifth-generation (5G) mobile wireless networks. These networks have been developed with extremely high service quality requirements: scalability for mMTC and reliability with low latency for URLLC. Fifth-generation network slicing will play a key role in supporting the distinct requirements of various services. Software-defined networking (SDN), a promising technology for network softwarization, physically separates the network control plane from the data plane by centrally controlling switches with an SDN controller. However, control channel bottleneck and processing delays due to this centralized control may reduce the scalability, reliability, and security of SDN. This paper proposes an SDN framework with programming protocol–independent packet processor (P4) switches (SDNPS), and defines a packet format containing in-band network telemetry data to simultaneously support heavy Internet of Things and URLLC traffic in 5G network slices. The method both satisfies the requirements of mMTC and URLLC and alleviates the load on the SDN controller. P4 is an advanced switch interface technology that provides enhanced stateful forwarding and reveals a persistent state on the SDN data plane. To demonstrate the superiority of SDNPS, simulations are performed on conventional SDNs and SDNPS. SDNPS outperforms the other schemes in terms of average throughput, packet loss ratio, and packet delay for both the mMTC and URLLC network slices.

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“…ShakeAlarm can provide a wider lead time than their national-level regional EEWS operated by Central Weather Bureau (CWB) by bypassing the location estimation by employing the relationship between the shake contour area and earthquake magnitude (Yang et al, 2018). Similarly, a team of researchers from India implemented an EEWS at the Himalayan Belt using (Franchi et al, 2019) P-alert sensors (Mittal et al, 2019;Chamoli et al, 2021).…”

Section: Figurementioning

confidence: 99%

Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review

et al. 2022

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Earthquake early warning system (EEWS) plays an important role in detecting ground shaking during an earthquake and alerting the public and authorities to take appropriate safety measures, reducing possible damages to lives and property. However, the cost of high-end ground motion sensors makes most earthquake-prone countries unable to afford an EEWS. Low-cost Microelectromechanical systems (MEMS)-based ground motion sensors are becoming a promising solution for constructing an affordable yet reliable and robust EEWS. This paper contributes to advancing Earthquake early warning (EEW) research by conducting a literature review investigating different methods and approaches to building a low-cost EEWS using MEMS-based sensors in different territories. The review of 59 articles found that low-cost MEMS-based EEWSs can become a feasible solution for generating reliable and accurate EEW, especially for developing countries and can serve as a support system for high-end EEWS in terms of increasing the density of the sensors. Also, this paper proposes a classification for EEWSs based on the warning type and the EEW algorithm adopted. Further, with the support of the proposed EEWS classification, it summarises the different approaches researchers attempted in developing an EEWS. Following that, this paper discusses the challenges and complexities in implementing and maintaining a low-cost MEMS-based EEWS and proposes future research areas to improve the performance of EEWSs mainly in 1) exploring node-level processing, 2) introducing multi-sensor support capability, and 3) adopting ground motion-based EEW algorithms for generating EEW.

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IoT-based Disaster Management System on 5G uRLLC Network

Cited by 17 publications

References 5 publications

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Network Slicing for mMTC and URLLC Using Software-Defined Networking with P4 Switches

Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review

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