IEEE ISCC 2017 5th International Workshop on Smart City and Ubiquitous Computing Applications (SCUCA 2017), 3 July 2017, Heraklion, Crete, Greece.


Mr. Rafay Iqbal Ansari, PhD Candidate, after being selected and invited by the IEEE Communications Society, will participate to the 2017 IEEE ComSoc Summer School to be held in University of New Mexico, Albuquerque, NM, USA, from July 17 to July 20, 2017 [Read more]

Mr. Rafay Iqbal Ansari, PhD Candidate, was nominated by CYNET for the IT Studentsí Lightning Talk Challenge, as part of the GEANT Future Talent Fund (FTF) initiatives, that took place in Linz, Austria, 29 May - 2 June 2017 [Read more]

Our PhD Candidate Rafay Iqbal Ansari, member of the team "SherPak", won the third place in Ericsson Innovation Awards 2016, selected among 843 teams worldwide, with "SmartWindows Communication" project idea [Read more]

Admission to the Ph.D. program in Computer Engineering (Networks concentration) [Read more]

Admission to the Ph.D. program in Computer Science (Networks concentration) [Read more]

Admission to the M.Sc. program in Electrical Engineering (Computer Engineering specialization - Networks concentration) [Read more]

Admission to the M.Sc. program in Web and Smart Systems (Smart Systems concentration) [Read more]

Frederick CISCO Academy CCNA course starts in October 2017 [Read more]

CISCO Networking Academy NetRiders CCNA 20174 Competition [Read more]

Cisco Networking Academy Evolution: New CCNA Routing and Switching course [Read more]


In this work, the focus is on the use of Delay Tolerant Networks (DTN) as the ideal candidate for complementing existing communication infrastructures where deployment practicalities and costs are a prohibitive factor. This is important, as we still find many places in the world where connectivity is unreliable or not available at all and there is a need for data transfers to and from such locations, e.g., for processing data gathered by sensors or medical devices, for providing basic communications such as email, etc.

Due to the disconnected nature of DTNs (i.e. the absence of an end-to-end path from source to destination) routing of data is naturally a challenging issue. As DTNs have found their way in a number of application scenarios, different routing approaches were devised to support the particular deployments and improve performance of data delivery. In this work, the performance of various routing algorithms for DTNs in a maritime network environment is examined and evaluated. Actual vessel movement data are used in order to have pragmatic results and we assess these algorithms with regards to their delivery probability, delivery delay and hop count, as well as resource usage. Based on our findings, we present our considerations for developing an improved DTN routing algorithm that will perform better within the context of a maritime network, and mainly improve existing ones on delivery probability and resource usage.

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