The paper presents a routing algorithm based on the use of the mobility of the nodes in the Delay and Disruptive Tolerant Networks (DTN). DTN are characterized by temporary or permanent lack of a continuous path between the source and the destination node. The communication is done by ferrying the message by intermediate nodes based on store-carry-forward paradigm. Our routing algorithm is based on the ability to use information about node mobility and their contacts. We assume that the greater mobility of node results in higher number of contacts with other nodes and higher probability in message delivery to the destination. The proposed algorithm was simulated using The One simulation tool. We compare the performance of our algorithm and other popular routing algorithms.
Abstract-Delay and Disruptive Tolerant Networks (DTN) are relatively a new networking concept that could provide a robust communication in wide range of implementations from the space to battlefield or other military usage. However in such dynamic networks, which could be considered as a set of intermittently connected nodes, message forwarding strategy is a key issue. Existing routing solutions concentrate mainly on two major routing families flooding and knowledge based algorithms. This paper presents SocialRouting -the social-based routing algorithm designed for DTN. The use of the social properties of wireless mobile nodes is the novel way of message routing that is based on message ferrying between separated parts of the network. Proposed idea has been extensively tested using simulation tools. The simulations were made based on especially designed for measurements in DTN scenarios and compared with popular solutions.
This article presents the idea and application of autonomous drones as mobile message ferries in delay-tolerant networks. The delay-tolerant network communication bases on messages ferrying called store-carry-forward paradigm. The messages ferrying can be realized by drones-an autonomous flying robots. For indoor application, drones are equipped with the sensors for distance and obstacle detection. The use of drones can be particularly effective in emergency scenarios where the human-rescuers' activity is impossible due to hard unhealthy conditions. Our solution was tested in indoor scenario. The test results demonstrate good performance of our solution.
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