PROJECT TITLE :

An Efficient Bit-Detecting Protocol for Continuous Tag Recognition in Mobile RFID Systems - 2018

ABSTRACT:

During a mobile RFID system, a massive variety of tags move out and in of the system continuously, therefore that the reader has terribly limited time to acknowledge all the tags. Consequently, the effective and economical identification of tags in mobile environments is a a lot of challenging drawback compared to traditional static RFID systems. During this Project, we tend to propose an efficient bit-detecting (EBD) protocol to accelerate the reading process of large-scale mobile RFID systems. In these systems, some previously recognized tags, i.e., known tags, may keep within the reader's reading vary for 2 consecutive reading cycles, and some unknown tags could newly participate in this reading cycle. Within the proposed EBD protocol, a replacement bit monitoring technique is proposed to detect the presence of known tags using a small range of slots, and to retrieve their IDs from the back-finish database. Next, an M-ary bit-detecting tree recognition methodology is proposed to rapidly acknowledge unknown tags while not generating any idle slots. This new protocol is shown to perform higher than existing methods reported within the literature. Each theoretic and simulation results are present to demonstrate that the proposed protocol is superior to existing protocols in terms of lower time value.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : TARA: An Efficient Random Access Mechanism for NB-IoT by Exploiting TA Value Difference in Collided Preambles ABSTRACT: The 3rd Generation Partnership Project (3GPP) has specified the narrowband Internet of Things
PROJECT TITLE : ESVSSE Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption ABSTRACT: It is believed that symmetric searchable encryption, also known as SSE, will solve the problem of privacy in data outsourcing
PROJECT TITLE : ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering ABSTRACT: A wide variety of big data applications generate an enormous amount of streaming data that is high-dimensional, real-time, and constantly
PROJECT TITLE : Efficient Shapelet Discovery for Time Series Classification ABSTRACT: Recently, it was discovered that time-series shapelets, which are discriminative subsequences, are effective for the classification of time
PROJECT TITLE : Efficient Identity-based Provable Multi-Copy Data Possession in Multi-Cloud Storage ABSTRACT: A significant number of clients currently store multiple copies of their data on a variety of cloud servers. This helps

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry