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PORTALE DELLA DIDATTICA

Mobile and sensor networks

01NWDBH, 01NWDOQ, 01NWDQW

A.A. 2019/20

Course Language

English

Course degree

Master of science-level of the Bologna process in Ict For Smart Societies - Torino
Master of science-level of the Bologna process in Electronic Engineering - Torino
Master of science-level of the Bologna process in Mechatronic Engineering - Torino

Course structure
Teaching Hours
Lezioni 50
Esercitazioni in aula 10
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Docente Da Nominare       50 10 0 0 1
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ING-INF/03 6 B - Caratterizzanti Ingegneria delle telecomunicazioni
2018/19
The course introduces students to the fundamental aspects of communication networks for mobile users and of sensor networks, which represent the main ways to disseminate and collect information in smart cities, smart buildings, health care centers as well as for applications such as environmental monitoring. The course objectives are therefore to let students acquire (i) the necessary knowledge on wireless and mobile communication technologies, and (ii) the ability to apply such knowledge to the support of services for smart cities. Special attention will be given to WiFi-based technologies, device-to-device (or machine-to-machine) communication and to wireless sensor networks. For each application scenario (smart city, health, environmental monitoring), the main network technologies are discussed, along with their performance and the open problems for which a solution is still needed. The students will also learn the methodologies that can be used for modeling such systems and the main results that have been obtained. The knowledge and abilities that students will acquire through this course are relevant to create experts in the design and management of network services, and in the development for services in application domains such as transport, environmental monitoring, domotics, health.
The course introduces students to the fundamental aspects of communication networks for mobile users and of sensor networks, which represent the main ways to disseminate and collect information in smart cities, smart buildings, health care centers as well as for applications such as environmental monitoring. The course objectives are therefore to let students acquire (i) the necessary knowledge on wireless and mobile communication technologies, and (ii) the ability to apply such knowledge to the support of services for smart cities. Special attention will be given to WiFi-based technologies, device-to-device (or machine-to-machine) communication and to wireless sensor networks. For each application scenario (smart city, health, environmental monitoring), the main network technologies are discussed, along with their performance and the open problems for which a solution is still needed. The students will also learn the methodologies that can be used for modeling such systems and the main results that have been obtained. The knowledge and abilities that students will acquire through this course are relevant to create experts in the design and management of network services, and in the development for services in application domains such as transport, environmental monitoring, domotics, health.
Students will acquire knowledge on wireless distributed network systems and the know-how to effectively apply these technologies to mobility services, system and environmental monitoring and data collection. In particular, students will develop competences on the medium access layer and the network layer of distributed wireless systems, and the ability to design a wireless network given the constraints that typically characterize practical smart city scenarios. In more detail, students will acquire knowledge and ability as reported below: 1. Knowledge of mobile network systems based on device-to-device communications and of sensor network applications. 2. Knowledge of protocols for radio channel access and traffic routing in distributed wireless networks. 3. Knowledge of channel access techniques, adaptive topology formation and traffic routing in wireless sensor networks. 4. Knowledge of the main performance metrics, which are relevant in wireless communication-based systems. 5. Ability to design a channel access protocol for wireless networks. 6. Ability to design a routing protocol for wireless networks under practical constraints and in relevant scenarios. 7. Ability to evaluate the performance of a distributed network system. 8. Ability to assess the suitability of a wireless technology to a given environment for application support.
Students will acquire knowledge on wireless distributed network systems and the know-how to effectively apply these technologies to mobility services, system and environmental monitoring and data collection. In particular, students will develop competences on the medium access layer and the network layer of distributed wireless systems, and the ability to design a wireless network given the constraints that typically characterize practical smart city scenarios. In more detail, students will acquire knowledge and ability as reported below: 1. Knowledge of mobile network systems based on device-to-device communications and of sensor network applications. 2. Knowledge of protocols for radio channel access and traffic routing in distributed wireless networks. 3. Knowledge of channel access techniques, adaptive topology formation and traffic routing in wireless sensor networks. 4. Knowledge of the main performance metrics, which are relevant in wireless communication-based systems. 5. Ability to design a channel access protocol for wireless networks. 6. Ability to design a routing protocol for wireless networks under practical constraints and in relevant scenarios. 7. Ability to evaluate the performance of a distributed network system. 8. Ability to assess the suitability of a wireless technology to a given environment for application support.
Basic knowledge of telecommunication networks, propagation of electromagnetic waves and probability theory.
Basic knowledge of telecommunication networks, propagation of electromagnetic waves and probability theory.
The course includes both lectures and numerical exercises, which focus on wireless distributed systems. In particular, they describe the main existing and emerging technologies and highlight their features and challenges in different application scenarios. The topics covered by the course, and their weight expressed in hours, are as follows: - Mobile networks and device-to-device communication: generalities, classification and main issues (6 h) - Channel access techniques in distributed wireless networks (12 h) - Connected cars: services, network architecture, channel access techniques and main technical challenges (6h). - Performance of distributed wireless networks (4 h) - Proactive and reactive routing protocols for mobile networks (7 h) - The Bluetooth technology (4 h) - Sensor networks: generalities and applications; channel access techniques (5 h) - Network topology control and traffic routing for sensor networks (4 h). Numerical exercises and software demonstrations account for 12 h.
The course includes both lectures and numerical exercises, which focus on wireless distributed systems. In particular, they describe the main existing and emerging technologies and highlight their features and challenges in different application scenarios. The topics covered by the course, and their weight expressed in hours, are as follows: - Mobile networks and device-to-device communication: generalities, classification and main issues (6 h) - Channel access techniques in distributed wireless networks (12 h) - Connected cars: services, network architecture, channel access techniques and main technical challenges (6h). - Performance of distributed wireless networks (4 h) - Proactive and reactive routing protocols for mobile networks (7 h) - The Bluetooth technology (4 h) - Sensor networks: generalities and applications; channel access techniques (5 h) - Network topology control and traffic routing for sensor networks (4 h). Numerical exercises and software demonstrations account for 12 h.
The exercises aim at clarifying and further investigating some of the concepts that are presented during the class lecturers. They mainly consist in the presentation and solution of numerical problems, and in the demonstration of software solutions that are currently available for device-to-device communication. Lectures are held with the support of slides, while numerical exercises are presented and solved using the blackboard. Technical discussions during class lectures will also help to assess the acquired level of knowledge and ability at the different stages of the course. Typically, the course hosts a couple of seminars by companies working in the filed of smart transportation systems. Such seminaries provide further examples on how wireless technologies are applied to smart city services.
The exercises aim at clarifying and further investigating some of the concepts that are presented during the class lecturers. They mainly consist in the presentation and solution of numerical problems, and in the demonstration of software solutions that are currently available for device-to-device communication. Lectures are held with the support of slides, while numerical exercises are presented and solved using the blackboard. Technical discussions during class lectures will also help to assess the acquired level of knowledge and ability at the different stages of the course. Typically, the course hosts a couple of seminars by companies working in the filed of smart transportation systems. Such seminaries provide further examples on how wireless technologies are applied to smart city services.
The teaching material consists of copy of the slides e during the course, text of numerical problems, and suggested reading. All the material is available on the web portal of the course. Useful references are as follows: - M. Gast, ed. (2002): "802.11 Wireless Networks: The Definitive Guide," O'Reilly (Networking), ISBN 978-0596001834. - M. Felegyhazi, J.-P. Hubaux, "Game Theory in Wireless Networks: A Tutorial," IEEE Communications Magazine. - C.S. Raghavendra, K.M. Krishna, M. Sivalingam, T. Znati, Wireless Sensor Networks, Kluwer Academic Publisher, 2004.
The teaching material consists of copy of the slides e during the course, text of numerical problems, and suggested reading. All the material is available on the web portal of the course. Useful references are as follows: - M. Gast, ed. (2002): "802.11 Wireless Networks: The Definitive Guide," O'Reilly (Networking), ISBN 978-0596001834. - M. Felegyhazi, J.-P. Hubaux, "Game Theory in Wireless Networks: A Tutorial," IEEE Communications Magazine. - C.S. Raghavendra, K.M. Krishna, M. Sivalingam, T. Znati, Wireless Sensor Networks, Kluwer Academic Publisher, 2004.
Modalità di esame: prova scritta;
The exam consists of a written test, which lasts about 1 hour and a half. No oral exam is foreseen. It is a closed-book exam, i.e., students cannot use textbooks, copy of the slides, or copy of the solutions of numerical problems. The test focuses on all course topics, specifically: WiFi/WiFi Direct, device-to-device networks, car-to-car communications, sensor networks, access control, topology formation and traffic routing. The test typically includes 4 questions, among which there is at least one numerical problem to solve. The remaining questions require the description and the analysis of system aspects. The numerical problems aim at verifying the competences acquired by the students on distributed channel access, sensor networks and traffic routing schemes, as well as their ability to correctly configure a network system. The other questions are intended to assess the students’ ability to select a wireless technology for different practical scenarios, and the students’ knowledge of the main aspects of distributed mobile and sensor networks. Each question is assigned a number of points, which reflects the level of difficulty of the question/problem. The answers to open questions are evaluated considering their correctness, the level of knowledge that the student has acquired on the topic, and the student’s ability to precisely answer the question and to clearly communicate the technical material with accurate terms. The solution of numerical problems is evaluated based on its correctness and technical rigor, on the rational followed by the student and on the student’s ability to apply the acquired know-how. The final mark is computed by summing the marks obtained in each question, with the final mark being 30/30 cum lode; the minimum mark students have to achieve in order to pass the exam is 18/30.
Exam: written test;
The exam consists of a written test, which lasts about 1 hour and a half. No oral exam is foreseen. It is a closed-book exam, i.e., students cannot use textbooks, copy of the slides, or copy of the solutions of numerical problems. The test focuses on all course topics, specifically: WiFi/WiFi Direct, device-to-device networks, car-to-car communications, sensor networks, access control, topology formation and traffic routing. The test typically includes 4 questions, among which there is at least one numerical problem to solve. The remaining questions require the description and the analysis of system aspects. The descriptive questions aim at assessing the students' knowledge on mobile distributed network systems, channel access techniques, topology adaptation, and traffic routing mechanisms, as well as their understanding of protocols and algorithms to be used and configured in specific scenarios. Importantly, the test also aims to evaluate the students' ability to select a technological solution depending on the different practical conditions and applications. The numerical problems aim at verifying the competences acquired by the students on distributed channel access, sensor networks and traffic routing schemes, as well as their ability to correctly configure a network system. Each question is assigned a number of points, which reflects the level of difficulty of the question/problem. The answers to open questions are evaluated considering their correctness, the level of knowledge that the student has acquired on the topic, and the student’s ability to precisely answer the question and to clearly communicate the technical material with accurate terms. The solution of numerical problems is evaluated based on its correctness and technical rigor, on the rational followed by the student and on the student’s ability to apply the acquired know-how. The final mark is computed by summing the marks obtained in each question, with the final mark being 30/30 cum lode; the minimum mark students have to achieve in order to pass the exam is 18/30.


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