Health condition identification of affected people in post disaster area using DTN

Roy, Aritra; Mahanta, Supriyo; Tripathy, Mallika; Ghosh, Sagarika; Bal, Sauvik

doi:10.1109/uemcon.2016.7777878

Cited by 5 publications

(7 citation statements)

References 2 publications

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“…[157] has suggested to use delaytolerant networking in a location-based mobility prediction scheme that estimates the mobility pattern of the nodes (e.g., FRs or victims equipped with smart devices) and enables to select the best forwarder. Another interesting work has been presented in [158], where the authors promoted an infrastructure-less health data delivery process architecture capable of automatically identify injured persons. In order to make up for the eventual unavailability of cloud-based mapping services and data in post-disaster scenarios, authors in [159] have presented DTN MapEx: a distributed computing system that generates and shares maps over a DTN.…”

Section: Dtnsmentioning

confidence: 99%

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia

Saeed

Kishk

et al. 2022

IEEE Open J. Commun. Soc.

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The number of disasters has increased over the past decade where these calamities significantly affect the functionality of communication networks. In the context of 6G, airborne and spaceborne networks offer hope in disaster recovery to serve the underserved and to be resilient in calamities. Therefore, our paper reviews the state-of-the-art literature on post-disaster wireless communication networks and provides insights for the future establishment of such networks. In particular, we first give an overview of the works investigating the general procedures and strategies for facing any large-scale disaster. Then, we present technological solutions for post-disaster communications, such as the recovery of the terrestrial infrastructure, installing aerial networks, and using spaceborne networks. Afterwards, we shed light on the technological aspects of post-disaster networks, primarily the physical and networking issues. We present the literature on channel modeling, coverage and capacity, radio resource management, localization, and energy efficiency in the physical layer part, and discuss the integrated space-air-ground architectures, routing, delay-tolerant/software-defined networks, and edge computing in the networking layer part. This paper also includes interesting simulation results which can provide practical guidelines about the deployment of ad hoc network architectures in emergency scenarios. Finally, we present several promising research directions, namely backhauling, cache-enabled and intelligent reflective surface-enabled networks, placement optimization of aerial base stations (ABSs), and the mobility-related aspects that come into play when deploying aerial networks, such as planning their trajectories and the consequent handovers (HOs).

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Section: Dtnsmentioning

confidence: 99%

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia

Saeed

Kishk

et al. 2022

IEEE Open J. Commun. Soc.

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show abstract

“…Reference [143] has suggested to use delay-tolerant networking in a location-based mobility prediction scheme that estimates the mobility pattern of the nodes (e.g., first responders or victims equipped with smart devices) and enables to select the best forwarder. Another interesting work has been presented in [144], where the authors promoted an infrastructure-less health data delivery process architecture capable of automatically identify injured persons. In order to make up for the eventual unavailability of cloud-based mapping services and data in post-disaster scenarios, authors in [145] have presented DTN MapEx: a distributed computing system that generates and shares maps over a DTN.…”

Section: Dtns and Sdnsmentioning

confidence: 99%

“…Mobility prediction [143] Mapping [145] Message delivery ratio [146] 2016 Mobility [149] Healthcare, identification [144] 2019…”

Section: Dtn 2015mentioning

confidence: 99%

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia¹,

Saeed²,

Kishk³

et al. 2022

Preprint

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The number of disasters has increased over the past decade where these calamities significantly affect the functionality of communication networks. In the context of 6G, airborne and spaceborne networks offer hope in disaster recovery to serve the underserved and to be resilient in calamities. Therefore, this paper surveys the state-of-the-art literature on post-disaster wireless communication networks and provides insights for the future establishment of such networks. In particular, we first give an overview of the works investigating the general procedures and strategies for counteracting any large-scale disasters. Then, we present the possible technological solutions for post-disaster communications, such as the recovery of the terrestrial infrastructure, installing aerial networks, and using spaceborne networks.Afterward, we shed light on the technological aspects of post-disaster networks, primarily the physical and networking issues. We present the literature on channel modeling, coverage and capacity, radio resource management, localization, and energy efficiency in the physical layer and discuss the integrated space-air-ground architectures, routing, delay-tolerant/software-defined networks, and edge computing in the networking layer. This paper also presents interesting simulation results which can provide practical guidelines about the deployment of ad hoc network architectures in emergency scenarios. Finally, we present several promising research directions, namely backhauling, placement optimization of aerial base stations, and the mobility-related aspects that come into play when deploying aerial networks, such as planning their trajectories and the consequent handovers.Maurilio Matracia and Mohamed-Slim Alouini are with the Computer, Electrical, and Mathematical Sciences and Engineering

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“…(3) DelayGoal: if the current network can support the goal of delay, the algorithm will determine the minimum number of copies based on the target delay (4) LossGoal: if the desired service quality of the service is to be achieved, the goal of packet loss rate of the service needs to be greater than the current network packet loss rate (5) DalayAccept: if the current network cannot support the target delay of the service, the number of copies will be determined based on the maximum acceptance delay (6) LossAccept: the target packet loss rate and maximum accepted packet loss rate, the target delay, and the maximum accepted delay form the service quality range of the service. If the network cannot support the demand for service quality, the service request can be rejected (7) PriLevel: this indicates that the user wants the service level provided by the network. There are three priority levels: H, M, and L (8) DownFlag: accepting the downgrade sign indicates that a certain quality of service can be downgraded when the network is congested 3 Wireless Communications and Mobile Computing (9) Down: when the network is in congestion, it is set to 1 to indicate that the service is downgraded.…”

Section: Service Description Modelmentioning

confidence: 99%

“…Smart grid introduces the concept of dynamic adjustment of service priority to solve the problems of spectrum resource shortage and low spectrum utilization rate faced by smart grid [7][8][9]. For power communication service priority adjustment, the existing methods cannot dynamically adjust the priority level of data packets according to the real-time congestion state of the network; for the scheduling of service packets, the traditional scheduling mechanism lacks consideration of channel resource changes and cannot provide reliable quality assurance for low-priority services under the condition of real-time changes of available channel transmission resources [10,11].…”

Section: Introductionmentioning

confidence: 99%

A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network

Liu

Zhao

et al. 2020

Wireless Communications and Mobile Computing

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With the development of the energy Internet, power communication services are heterogeneous, and different power communication services have different business priorities. The power communication services with different priorities have different requirements for network bandwidth and real-time performance. For traditional unified service, a scheduling method cannot meet these service requirements at the same time, and electric power communication network cannot guarantee the quality of service. Therefore, how to make full use of the time-varying characteristics of communication resources to meet the business needs of different priorities and achieve the goals of high resource utilization and transmission quality has become one of the urgent problems in the power communication network. For this reason, in order to adapt to the real-time congestion of the network, we have designed a packet scheduling method based on the dynamic adjustment of service priority, which dynamically adjusts the priority of the power service on the node; in addition, an evaluation method for the trust value of wireless forwarding nodes is introduced to improve the security of data transmission; and finally, we valuate the channel quality to establish a reasonable and efficient packet scheduling mechanism for services of different priorities. Simulation results show that this method improves the communication performance of high-priority services and improves the spectrum resource utilization of the entire system.

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Health condition identification of affected people in post disaster area using DTN

Cited by 5 publications

References 2 publications

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network

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