Tesi etd-09062022-182744 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
MARTINO, GABRIELE
URN
etd-09062022-182744
Titolo
Hole detection and recovering algorithms using bio-inspired robotic swarms
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
COMPUTER ENGINEERING
Relatori
relatore Prof. Cimino, Mario Giovanni Cosimo Antonio
relatore Prof.ssa Vaglini, Gigliola
relatore Dott. Galatolo, Federico Andrea
relatore Dott.ssa Giada, Simionato
relatore Prof.ssa Vaglini, Gigliola
relatore Dott. Galatolo, Federico Andrea
relatore Dott.ssa Giada, Simionato
Parole chiave
- FANETs
- Fault Repair Algorithm
- Swarm Algorithm
- Wireless Sensor Network
Data inizio appello
23/09/2022
Consultabilità
Non consultabile
Data di rilascio
23/09/2092
Riassunto
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.
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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