A Message Priority Routing Protocol for Delay Tolerant Networks (DTN) in Disaster Areas

Joe, Inwhee; Kim, Sang-Bo

doi:10.1007/978-3-642-17569-5_72

Cited by 29 publications

(14 citation statements)

References 9 publications

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“…In [9] the authors proposed a DTN forwarding protocol which assigns priorities to the messages and then forward them according to their respective priorities. Handling data according to priority is very advantageous especially for the opportunistic networks where continuous connectivity cannot be maintained, as it will forward critical data before the data with less priority.…”

Section: Disaster Management Through Dtnmentioning

confidence: 99%

Disaster Management through Delay Tolerant Networks

Jamal¹,

Asif²,

Khan³

et al. 2017

IJFGCN

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Section: Disaster Management Through Dtnmentioning

confidence: 99%

Disaster Management through Delay Tolerant Networks

Jamal¹,

Asif²,

Khan³

et al. 2017

IJFGCN

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“…However, most of these applications do not much focus on reduction of message delivery time, which is important especially in medical image delivery services. Some existing studies such as (Joe et al 2012); (Mashhadi et al 2011); (Ishimaru et al 2010) achieve timely delivery of messages by assigning priority to messages and employing a priority forwarding scheme. However, our target medical image delivery service requires good quality of medical images (at the destination), sufficient to be used for diagnosis by a specialist at the hospital.…”

Section: Image-delivery Services Using Dtnmentioning

confidence: 99%

Priority medical image delivery using DTN for healthcare workers in volcanic emergency

Ashar

Suwa

Arakawa

et al. 2016

Sci Phone Appl Mob Devices

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In this paper, targeting eye injuries caused by volcano disaster, we propose a medical image delivery service that streamlines the delivery of victim image data from a disaster area to specialist doctors in city hospitals using the Delay Tolerant Network (DTN). The service is used for an emergency response to provide quick feedback to healthcare workers after images are received by a hospital. With the received images, specialist doctors diagnose the type and seriousness of the eye injury in those images and provide appropriate medical instructions to healthcare workers. To reduce image delivery delay, it is desirable to send medical images to doctors based on image priority. For this purpose, we propose an image prioritization method in which an image is divided into pieces, and each piece is assigned a priority based on its content (for example, the severity of the injury), aiming to deliver high-priority pieces faster. Based on the priorities assigned to the pieces, we propose a message priority forwarding scheme for pieces in a DTN environment, where higher priority pieces are assigned more bandwidth and transmitted with higher resolution. Also, taking into account actual practice in a disaster area, we design and implement an application for Android devices. Through computer simulations supposing a volcano disaster scenario involving Mount Merapi in Indonesia, we confirmed that the proposed delivery service significantly shortens the image delivery time.

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“…In flooding-based protocols, each node sends its messages to the nodes that it comes into contact. A modified Spray and Wait flooding-based protocol known as DTN message priority routing protocol was used in the delivery of messages in a disaster-stricken area [11]. A cluster mobility model designed for a disaster scenario was also evaluated using flooding-based routing protocols [17].…”

Section: Existing Workmentioning

confidence: 99%

Disaster Information Collection with Opportunistic Communication and Message Aggregation

Fajardo

Yasumoto

Shibata

et al. 2014

Journal of Information Processing

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Abstract:When a large-scale disaster strikes, the communications infrastructure is usually unavailable. However, accurate and timely information of the disaster area is important because first responders rely on this information to assess the situation in the affected area and to provide an effective and immediate assistance. In this paper, a data collection method from an area of interest (AoI) within the disaster zone is proposed that uses the mobile phones of the people to serve as sensing nodes. In order for maximum AoI coverage to be achieved while minimizing delay, we propose a disruption tolerant network (DTN)-based data aggregation method. In this method, mobile phone users create messages containing disaster-related information and merge them with their respective coverage areas resulting in a new message with the merged coverage. The merging or aggregation of multiple messages will reduce message size and minimize the overall message collection delay. However, simply merging the messages can result in duplicate counting thus, to prevent this, a Bloom filter is constructed for each message. Also, to reduce further the message delivery time, the expected reaching time of a node to its destination is introduced as a routing metric. Through computer simulation with a real geographical map, the proposed method achieved a 9.7% decrease in information collection delay confirming that the proposed method achieved a smaller delay with a smaller number of total exchanged messages in collecting disaster information covering the AoI than epidemic routing.

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A Message Priority Routing Protocol for Delay Tolerant Networks (DTN) in Disaster Areas

Cited by 29 publications

References 9 publications

Disaster Management through Delay Tolerant Networks

Disaster Management through Delay Tolerant Networks

Priority medical image delivery using DTN for healthcare workers in volcanic emergency

Disaster Information Collection with Opportunistic Communication and Message Aggregation

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