Priority scheduling for participatory Delay Tolerant Networks

Abstract

Delay Tolerant Networking (DTN) protocols have been investigated as effective ways to distribute content in scenarios where the producers and consumers of content belong to the same geographical area. Common focus of all these approaches has been on maximising network delivery while treating messages as if they were all worth the same to recipients (i.e., messages are forwarded in a first-encountered/firstforwarded fashion). However, because of battery limitations on mobile devices, it is often the case that not all messages can be delivered. In this paper, we propose a new approach for priority-scheduling in participatory DTNs, whereby both message's value to the end-user as well as the likelihood of future encounters are combined to make the forwarding decision.

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

“…The other is business differentiation caused by different business types, such as text, picture, or video services. Mashhad and Capra considered a general model for measuring the priority of messages [17] and modeled user's interest in messages in two ways: users can define the objects they are interested in (people-centered) or the content of interest (in content as the center). Regarding service differentiation caused by different service types, different types of services have different QoS requirements such as bandwidth, packet loss rate, and delay.…”

“…In order to solve the above two problems, we set a priority for messages in the internal queue of the node to determine the ordering and discarding of messages. The queue priority of messages in a node is a complex function of the number of message copies, the remaining number, and the priority of the message itself [17].…”

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

“…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.…”