Towards a marine opportunistic network across the Mediterranean Sea
School of Science and Technology, MSc in Information & Communication Technology Systems
The broader Mediterranean Region is an area where maritime transportation is one of the
most important ways of communication. Daily movement of a large number of vessels is the
Mediterranean Sea creates the most densely populated marine routed in the world. The goal
of this dissertation is to study the feasibility of an opportunistic (aka Delay Tolerant) network
in the Mediterranean area that will be leveraging the (semi - deterministic) trajectories of
ferries, ships and boats across the sea. AIS data transmitted from vessels for maritime
purposes will be used for the network’s creation.
The dissertation’s motivation is to leverage the mobility of marine nodes across the sea to set
up an opportunistic network. The network could serve traffic with no strict delay
requirements and it would be helpful in the ever – expanding mobile networks, because there
are several regions in the sea, without cellular coverage and satellite communication is much
The first chapter of the dissertation is an introduction to the basic idea proposed in it.
Background information about marine traffic and maritime signal transmission is given. It
also includes a brief introduction to the opportunistic networks, the dissertation’s objectives
and the methodology followed.
The second chapter is dedicated to the network characteristics and metrics that were used in
the simulation of the opportunistic network. Inter – contact times, contact graph and contact
duration are studied.
Chapter three includes the study of the AIS existing in the data set used. The definitions of
the used data, as well as the pre – processing followed before the development of the
application. There is also the algorithmic approach of the Matlab application, as well as the
analysis of some of the critical points of it.
Chapter four contains the network characterization results, as obtained from the application.
The results are taken from different scenarios for the time threshold and the distance. Graphs
visualize the results are also presented. Finally, chapter five contains the conclusions drown
and the further development toward a full network application.