Best-effort delivery of emergency messages in post-disaster scenario with content-based filtering and Priority-enhanced PRoPHET over DTN

Bhattacharjee, Suman; Basu, Souvik; Roy, Sudipta; Bit, Sipra Das

doi:10.1109/comsnets.2016.7439936

Cited by 23 publications

(10 citation statements)

References 12 publications

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“…The result is the same as that calculated by formula (24). According to formula (27), the probability function of the Irish distribution is shown in formula 28:…”

Section: Analysis Of Waiting Time Probabilitymentioning

confidence: 75%

“…During both spray phase and wait phase, the message is forwarded to the node of the highest utility value. Priority-enhanced PRoPHET (Pen-ProPHET) [27] performs a content based message filtering using Natural Language Processing (NLP) and a first level prioritization based on the outcomes of this filtering. A second level on-the-fly prioritization is done by using delivery predictability of forwarder nodes using the Prophet routing protocol.…”

Section: Probability Forwarding Protocolmentioning

confidence: 99%

“…Formula (27) shows that W n obeys the Irish distribution with parameters λ and n (also known as Γ distribution). The probability of two nodes meeting at least once between before the time t can be expressed as P(W 1 t) = P(X t ≥ 1) = 1 − P(X t < 1) = 1 − e −λt calculated by formula (27). The result is the same as that calculated by formula (24).…”

Section: Analysis Of Waiting Time Probabilitymentioning

confidence: 99%

See 2 more Smart Citations

Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system

et al. 2019

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“…The result is the same as that calculated by formula (24). According to formula (27), the probability function of the Irish distribution is shown in formula 28:…”

Section: Analysis Of Waiting Time Probabilitymentioning

confidence: 75%

Section: Probability Forwarding Protocolmentioning

confidence: 99%

Section: Analysis Of Waiting Time Probabilitymentioning

confidence: 99%

See 1 more Smart Citation

Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system

et al. 2019

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show abstract

“…Lieser et al [11] investigated the timing patterns of different messages (e.g., SOS, "I'm alive") after disasters and provided insights on which messages should be prioritized at what time. Bhattacharjee et al [22] designed a natural language processing (NLP) algorithm to filter emergency messages which are delivered using a developed priority-enhanced routing protocol.…”

Section: Related Workmentioning

confidence: 99%

Empirical Optimization on Post-Disaster Communication Restoration for Social Equality

Liu,

Dong,

Morris

2021

Preprint

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Disasters are constant threats to humankind, and beyond losses in lives, they cause many implicit yet profound societal issues such as wealth disparity and digital divide. Among those recovery measures in the aftermath of disasters, restoring and improving communication services is of vital importance. Although existing works have proposed many architectural and protocol designs, none of them have taken human factors and social equality into consideration. Recent sociological studies have shown that people from marginalized groups (e.g., minority, low income, and poor education) are more vulnerable to communication outages. In this work, we take pioneering efforts in integrating human factors into an empirical optimization model to determine strategies for post-disaster communication restoration. We cast the design into a mix-integer non-linear programming problem, which is proven too complex to be solved. Through a suite of convex relaxations, we then develop heuristic algorithms to efficiently solve the transformed optimization problem. Based on a collected dataset, we further evaluate and demonstrate how our design will prioritize communication services for vulnerable people and promote social equality compared with an existing modeling benchmark.

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“…To improve delivery rates and latency of messages under congested scenarios, we use prioritization of messages based on external classification, for example, the classification used in [15]. However, this work is compatible with other types of prioritization of messages, such as role-based or destination-based.…”

Section: Introductionmentioning

confidence: 99%

Effective communication for message prioritization in DTN for disaster scenarios

Rosas

Andrade

Hidalgo

2022

Peer-to-Peer Netw. Appl.

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When disaster strikes, effective communication is crucial for emergency responses and accessing a victim's location. Using smartphonebased Delay Tolerant Networks (DTNs) is the prevalent proposed approach to work around network disruptions. One of the challenges in these networks is high-traffic congestion, since buffer limitation produces message drop before they are delivered. In this article, a congestion control strategy using message prioritization is presented for DTNs to increase network resilience facing high message congestion. We measure congestion considering the free space in the buffers of the nodes involved in the routing or by counting the messages deleted from the buffer in a fixed period to improve the availability and immediacy of information for disaster scenarios. We evaluated the proposed strategies using The ONE simulator to test different mobility models and communication protocols. Results show that the strategy improved delivery rate, buffer usage, eliminated messages, overhead, and latency for the highest priority messages. The best results were obtained in terms of latency, which fits our disaster scenario since timely information is vital. The trade-offs are a slightly lower average delivery rate and a decrease in the lowest priority message delivery rate.

show abstract

Best-effort delivery of emergency messages in post-disaster scenario with content-based filtering and Priority-enhanced PRoPHET over DTN

Cited by 23 publications

References 12 publications

Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system

Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system

Empirical Optimization on Post-Disaster Communication Restoration for Social Equality

Effective communication for message prioritization in DTN for disaster scenarios

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