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Actualités de l'école

25/06/2021

Doctorate thesis defense of Soumaya Bel hadj youssef




Doctorate thesis defense on June 25th, 2021, 10h00, Meeting room, SUP’COM


Entitled :Clouds of UAV networks: Muling, Security, and Applications

Presented by :Soumaya Bel hadj youssef


Committee


President :

Pr. Amel Ben Azza

Professor, SUP’COM, University of Carthage

 

 

 

Examiners:

Pr. Aref Meddeb

Professor, ENISo, University of Sousse

 

Pr. Lamia Chaari

Professor, ISIMS, University of Sfax

 

Member:

Dr. Asma Ben Letaifa

 SUP’COM, University of Carthage

 

 

 

Thesis Supervisor :

Mr. Noureddine Boudriga

SUP’COM, University of Carthage


Abstract


 

Wireless Sensor Networks (WSNs) have the potential to significantly improve the efficiency of many surveillance applications. Wireless Body Area Networks (WBANs) have also gained an extensible interest for many applications such as assisting and tracking mobile workers operating in critical infrastructures. However, when WSNs or WBANs are used to monitor large and infrastructure-less areas, they are likely to face many issues. In this context, the combined use of the sensor and UAV cloud will be a promising solution. The main objective of this thesis is to provide an efficient, fast, and secure data delivery from a set of WSNs deployed in a monitoring area to the control center through a fleet of UAVs while paying the entities contributing in the sensing and delivery tasks. Four main axes have been explored:
In the first axis, we focus on how to serve the maximal possible number of incoming requests of data collection from sensor cloud, maximize the connectivity between active UAVs and the ground base stations, and minimize the energy consumption of the UAVs. A system architecture composed of multi-broker of cloudlets of WSNs enabling to develop a wide variety of monitoring applications, while calling for the use of a UAV cloud is proposed. Moreover, a WBAN system to help firefighters in their hazardous mission and two mobility models for firefighters’ teams are provided. Furthermore, we provide techniques and algorithms allowing: (a) maximize the connectivity between busy UAVs; (b) optimize the movement of candidate idle UAVs to reduce their energy consumption; and (c) maximize the satisfaction rate of the incoming requests. The second axis is about minimizing the data delivery delay and hence achieving an efficient data collection and delivery. A multi-broker public UAV cloud architecture for providing a service to a private terrestrial WSN is developed. Two different approaches are proposed for minimizing the data delivery delay. The first approach is based on the optimization of the number of clusters. The second approach is about optimizing the number of UAV relays. In the third axis, we ensure security and traceability of the data transmitted from a set of sensor cloudlets to the control center. A set of UAV cloudlets is used for achieving the data delivery task. A distributed and long term security solution is ensured by our system through the Blokchain (BC) technology which provides authentication, data storage, data integrity and resistance against tampering, and traceability of the data delivery task. Finally, we ensure an efficient, trust-aware, and robust micropayment system based on the use of the blockchain technology and an auditor in cloud environment. The auditor is responsible of aggregating the tokens of users (i.e., the control center and the UAV broker) into blocks, uploading the blocks into the blockchain network, managing users’ trust, and providing some sort of insurance by covering the loss due to user’s misconduct. Our micropayment system builds a trust function capable of providing real time management of the user’s trust levels based on historic activity and then adapts the block size to the user’s behavior and the willingness of the auditor to take a risk.
Keywords: WSNs, WBANs, UAVs, cloud computing, Data delivery delay reduction, UAV network connectivity, Security, Blockchain technology, Micropayment
Wireless Sensor Networks (WSNs) have the potential to significantly improve the efficiency of many surveillance applications. Wireless Body Area Networks (WBANs) have also gained an extensible interest for many applications such as assisting and tracking mobile workers operating in critical infrastructures. However, when WSNs or WBANs are used to monitor large and infrastructure-less areas, they are likely to face many issues. In this context, the combined use of the sensor and UAV cloud will be a promising solution. The main objective of this thesis is to provide an efficient, fast, and secure data delivery from a set of WSNs deployed in a monitoring area to the control center through a fleet of UAVs while paying the entities contributing in the sensing and delivery tasks. Four main axes have been explored:In the first axis, we focus on how to serve the maximal possible number of incoming requests of data collection from sensor cloud, maximize the connectivity between active UAVs and the ground base stations, and minimize the energy consumption of the UAVs. A system architecture composed of multi-broker of cloudlets of WSNs enabling to develop a wide variety of monitoring applications, while calling for the use of a UAV cloud is proposed. Moreover, a WBAN system to help firefighters in their hazardous mission and two mobility models for firefighters’ teams are provided. Furthermore, we provide techniques and algorithms allowing: (a) maximize the connectivity between busy UAVs; (b) optimize the movement of candidate idle UAVs to reduce their energy consumption; and (c) maximize the satisfaction rate of the incoming requests. The second axis is about minimizing the data delivery delay and hence achieving an efficient data collection and delivery. A multi-broker public UAV cloud architecture for providing a service to a private terrestrial WSN is developed. Two different approaches are proposed for minimizing the data delivery delay. The first approach is based on the optimization of the number of clusters. The second approach is about optimizing the number of UAV relays. In the third axis, we ensure security and traceability of the data transmitted from a set of sensor cloudlets to the control center. A set of UAV cloudlets is used for achieving the data delivery task. A distributed and long term security solution is ensured by our system through the Blokchain (BC) technology which provides authentication, data storage, data integrity and resistance against tampering, and traceability of the data delivery task. Finally, we ensure an efficient, trust-aware, and robust micropayment system based on the use of the blockchain technology and an auditor in cloud environment. The auditor is responsible of aggregating the tokens of users (i.e., the control center and the UAV broker) into blocks, uploading the blocks into the blockchain network, managing users’ trust, and providing some sort of insurance by covering the loss due to user’s misconduct. Our micropayment system builds a trust function capable of providing real time management of the user’s trust levels based on historic activity and then adapts the block size to the user’s behavior and the willingness of the auditor to take a risk.
Keywords: WSNs, WBANs, UAVs, cloud computing, Data delivery delay reduction, UAV network connectivity, Security, Blockchain technology, Micropayment