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Digital archive of theses discussed at the University of Pisa

 

Thesis etd-09062022-182744


Thesis type
Tesi di laurea magistrale
Author
MARTINO, GABRIELE
URN
etd-09062022-182744
Thesis title
Hole detection and recovering algorithms using bio-inspired robotic swarms
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
COMPUTER ENGINEERING
Supervisors
relatore Prof. Cimino, Mario Giovanni Cosimo Antonio
relatore Prof.ssa Vaglini, Gigliola
relatore Dott. Galatolo, Federico Andrea
relatore Dott.ssa Giada, Simionato
Keywords
  • FANETs
  • Fault Repair Algorithm
  • Swarm Algorithm
  • Wireless Sensor Network
Graduation session start date
23/09/2022
Availability
Withheld
Release date
23/09/2092
Summary
A Wireless Sensor Network (WSN) is a set of spatially distributed autonomous sensors with sensing, computation and wireless communication capabilities. These networks are used in many fields such as national security, surveillance, health care, biological detection and environmental monitoring. However, these sensors are characterized by limited wireless and computing capabilities and therefore they should be carefully deployed in order to cover the areas to be monitored without impairing network lifetime.
Unfortunately, these, as all the kinds of networks, are characterized by a normal and not isolated event: fault. Thus, in order to guarantee the network quality of service it is essential for the WSNs to be able to detect failure and perform akin to healing, recovering from events that might cause some of its part malfunction.
We focused on networks where the sensors have the ability to move in the space as the Flying ad-hoc Networks (FANETs) where the monitoring sensors are mounted on top of UAVs (Unmanned Air Vehicles) and propose a framework for hole detection and recovering technique from the malfunctioning inspired from how platelets work in recovering a wound.
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