Design and performance evaluation of algorithms for wireless self-organizing systems
Creato da
Surace, Rosario
Greco, Sergio
Loscrì, Valeria
Aloi, Gianluca
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Dottorato di Ricerca in Ingegneria dei Sistemi e Informatica, Ciclo XXVII, a.a. 2014; The work done during the PhD course involves the study of the Self-
Organization of wireless sensors, robots and UAV networks. In particular,
this thesis investigates how each node composing the system can take advantage
from the Self-Organization and from mobility, in a way to optimize some
networks parameters as coverage and energy consumption.
Self-Organization is a process in which pattern at the global level of a system
emerges solely from numerous interactions among the lower-level components
of a system. The rules specifying interactions among the systems
components are executed using only local information, without reference to
the global pattern [1].
Mobility, although still for some types of systems is not considered a primitive
of the network: in recent years has been the subject of many studies just as
useful feature to achieve certain objectives, not least the energy consumption
in transmission.
The network issues has been addressed using different approaches from
the theoretical studies aimed at finding the maximum achievable performance
benchmarks, through the introduction of appropriate optimization models, the
proposal of distributed heuristics and more realistic communication protocols,
and the use of biology-inspired mechanisms, such as genetic algorithms (GA)
and neural networks (NN). The purpose of this type of approach is to move
in the direction of networks that are able to self-organize by adapting to
different environmental conditions and dynamic as well as hard scenarios (i.e.
environment disasters).
The rest of the thesis is organized as follows: in Chapter 1 background on
Self-Organizing Systems is given. In Chapter 2 we investigate on the impact of
the Propagation Environment on Controlled Mobility Algorithms; distributed
heuristics to Film Sport Events with Flying Robots in Chapter 3 and Bio-
Inspired approaches in Chapter 4. Finally, a new communications protocol for
WSN called Decentralized Time-Synchronized Channel Swapping is analyzed
in Chapter 5.; Università della CalabriaSoggetto
Telecomunicazioni; Algoritmi
Relazione
ING/INF-03;