Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/0347A20E-150F-4DFA-BC83-5AD42A7ADC11 | ||
| Year | 2025 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Christodoulos Kabanis, "A system for In-Network hot motion path detection over RFID and sensor network technologies", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.103023 | ||
| Appears in Collections |
In today’s interconnected world, vast amounts of data traverse networks along diverse paths, generating an immense flow of information. In this fast-paced information age, where speed is paramount and delays can be detrimental, the demand for efficient data processing has reached unprecedented levels. Achieving efficiency requires balancing resource utilization with accuracy and processing speed. This necessity drives the pursuit of data compression techniques that preserve critical information while reducingtransmission overhead. One of the most demanding applications of this principle is in road networks, where roads form the network structure, and moving objects represent the continuous flow of information.This work introduces a distributed algorithm based on MinHashing to identify frequent road network edges and hot motion paths, reducing communication costs while preserving data accuracy. By leveraging RFID-enabled motes, the algorithm efficiently compresses data for real-time traffic analysis, highlighting trade-offs between detection accuracy and communication efficiency. These findings contribute to scalable, decentralizedtraffic monitoring systems, addressing challenges in data compression, privacy, and transmission efficiency.
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