2020
DOI: 10.1007/s11276-020-02481-2
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Enabling disaster-resilient communication using multi-hop device-to-device framework

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Cited by 4 publications
(3 citation statements)
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References 27 publications
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“…Such that with the help of this particular mode users can communicate at the time of disaster. Based on D2D communication paradigm, a disaster resilient multi-hop D2D communication network is proposed in [38], which offers shortest path routing based scheduling in terms of user coverage in the affected disaster area. Whereas an effective mobile synchronization protocol is developed for establishing a synchronized mobile network to provide enhanced coverage in public safety communication [39].…”
Section: Brckmentioning
confidence: 99%
“…Such that with the help of this particular mode users can communicate at the time of disaster. Based on D2D communication paradigm, a disaster resilient multi-hop D2D communication network is proposed in [38], which offers shortest path routing based scheduling in terms of user coverage in the affected disaster area. Whereas an effective mobile synchronization protocol is developed for establishing a synchronized mobile network to provide enhanced coverage in public safety communication [39].…”
Section: Brckmentioning
confidence: 99%
“…Agrawal et al 6 combined stochastic factors and real data to simulate earthquake occurrence and proposed a stochastic model to estimate the impact of seismic hazard on backbone optical network. To provide communication services to post-earthquake disaster areas, Peer et al 7 proposed a new multi-hop device-to-device (D2D) communication framework that connects devices which are not in the coverage area of the communication network to active base stations through relaying. Ibrah et al 8 designed a scheme to build an emergency relay network using multiple UAVs.…”
Section: Introductionmentioning
confidence: 99%
“…proposed the probability of receiving packets in different states under uncertain conditions. Combined with the generalized, it can quickly solve wireless communication, use the maximum weight group to conduct heuristic search to determine the optimal scheduling mode of wireless communication packets, and reduce the optimization times required for packet loss [16]. Singh et al proposed a wireless communication packet optimal scheduling method based on risk perception, fully analyzed the bounded rationality of risk perception, described its behavior by using relevant theories, and gave the supply rate of the wireless communication system [7].…”
mentioning
confidence: 99%