By incorporating these considerations, a new WSN topology design tailored to bridge SHM requirements is proposed. The framework aims to maximize system lifetime while considering factors like sensor coverage, connectivity, energy consumption, component reliability, and cyber security. To overcome the unique security and longevity dilemma of WSN-SHM systems for bridges, this thesis proposes a novel modeling framework. Implementing security measures like encryption and authentication reduces energy resources, impacting lifetime. Yet, WSNs introduce vulnerabilities, making the sensor nodes susceptible to physical and cyber-attacks.
To address this challenge, various solutions have been proposed to increase WSN longevity. However, they face limitations in battery capacity, affecting their overall lifetime. WSNs are an optimal choice for instrumenting highway bridges for remote SHM. However, despite their potential, WSNs for bridge SHM have mostly remained limited to civil engineering laboratories and have not been extensively deployed in real-world transportation infrastructures. When it comes to instrumenting highway bridges for remote SHM, WSNs present themselves as an optimal design choice. Remote SHM systems, popular for bridge monitoring, provide real-time data without frequent on-site visits. Structural health monitoring (SHM) systems have gained prominence, particularly for assessing bridge integrity and scheduling safety maintenance. WSNs have diverse applications, including in smart cities and driverless cars. Location: Lester Cory Conference Room (SENG), Room 213AĪ wireless sensor network (WSN) is a network of distributed devices that gather data on physical phenomena in the environment, transmitting it cooperatively for informed decision-making. Topic: LIFETIME MODELING AND PROTOTYPING OF WIRELESS SENSOR NETWORK (WSN): INTEGRATING APPLICATION-SPECIFIC CHARACTERISTICS IN BRIDGE STRUCTURAL HEALTH MONITORING (SHM) If you have a Max Missed block on your account, you are required to meet with the Center Director before the block is removed.ĬPE Master of Science Thesis Defense by Cedric Leonardo Students with 5 missed appointments will be automatically blocked from making additional appointments. Please call the STEM Learning Lab if you can not attend an appointment. To schedule an appointment, please click on the "SCHEDULE APPOINTMENT" button at the top of this page. Please reach out to John Fernandes at with any questions about the STEM Learning Lab. Access to workshops for resumes, time management, use of graphing calculators, and study habits.Access to computers for related courses and programs.Access to reference material (books, notes, online, etc).Supplemental instruction in collaborations with the colleges.Individualized (one-on-one) tutoring, group study spaces, tutoring and activities, and online tutoring for Math courses.Tutoring in Biology, Chemistry, Physics, Engineering, and Mathematics subjects.Services and resources of the STEM Learning Lab include:
The vision is to enhance the students' learning experience and develop them as STEM scholars. Staff of the STEM Learning Lab strive to provide differentiated support that is tailored to students' needs. Recognizing that students come with different experiences, backgrounds, and levels of comfort in STEM areas, the Lab focuses on students from underrepresented populations as well as all undergraduate and graduate students. Located in the Science & Engineering (SENG) building, room 217, the mission of the STEM Learning Lab is to improve and advance STEM learning and education of UMass Dartmouth students in order to increase retention and graduation in fields such as Chemistry, Biology, Mathematics, Engineering, and Physics, and prepare students for careers in STEM fields. The STEM Learning Lab is part of the Academic Resource Center (ARC), a federal TRiO Student Support Service program in operation since 1976. You can set up an appointment to visit her at the link on the right →
Gracie, the STEM "Lab Lab" sports her safety doggles.
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