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Projects > COMPUTER > 2019 > NON IEEE > APPLICATION
Given the fact that roughly 800,000 children are reported missing in the United States every year, how to assist parents to track their children becomes an important problem. Even though many children tracking systems have been proposed, the high cost and energy limitation of locators are the stumbling blocks which limit the application of those systems. To address this challenge, design a children tracking system based on RFID technology, where children carry RFID tags and the system is responsible for locating the children by aggregating the readings from the deployed readers. Noting the importance of localized processing for efficient children tracking, study how the locally available computing resource, such as the mobile devices carried by the park employees and visitors, can be utilized for service provisioning. Since mobile devices have limited energy, we study an energy efficiency optimization problem by jointly considering the resource allocation and user association. The formulated problem is solved by a dynamic updating matching approach. Through extensive simulations, we have demonstrated the effectiveness of our proposed solution.
In the existing system, an RFID-based privacy-preserving children tracking (REACT)scheme for helping locate missing children in large amusement parks and other public venues was proposed. The scheme is characterized by the cooperation among RFID readers, storage nodes and control center, which are strategically deployed across the amusement park, as well as employees and visitors in the park. When a passive RFID tag, physically attached on a child, approaches an RFID reader, the reader will process the tag information. The reader then forwards the information to a storage node through a pocket switched network formed by employees and visitors in the park. When locating a lost child is requested, the system is able to track the missing child by querying the tag information stored in the storage nodes. Detailed security analysis shows that the proposed REACT scheme achieves child’s identity privacy, unlinkable location privacy and forward security. In addition, extensive simulations demonstrate that as more visitors participate in the pocket switched network, the performance of our proposed REACT scheme increases which directly improves the efficiency for the locating lost children.
In the proposed system a new children tracking system based on UHF RFIDs. Similar to previous works, UHF RFID IS propose to fasten the passive RFID tags on children. When the children play in a theme park, their tags would be read by the nearby fixed readers with wireless communication capability. These fixed readers are deployed by a service provider, such as the theme park, to cover the whole activity area of children. The service provider obtains the locations of children by aggregating the readings of these readers. To avoid the potential congestion problem in the centralized design, utilize the mobile devices carried by the park employees and visitors as the local processing units. In so doing, raw reading data is not sent to the remote control center for data processing. With the help of remote control center, the reader finds a mobile device for data processing. Then, the associated mobile device/local processing unit delivers the processed data to users. In practice, some of the users may locate in the communication range of associated mobile devices. Thus, the associated mobile devices directly transmit the data to the users in the transmission range. For the users out of the communication range of associated mobile devices, the remote control center serves as the relay for data transmissions. Since mobile devices have limited energy, if they consume too much of their energy quickly, there are not enough number of local processing units that support the service for users. To fully exploit the mobile devices for service provisioning, formulate an energy efficiency (EE) optimization problem by jointly considering power allocation and user association. The EE optimization problem was addressed by adopting the dynamic updating matching algorithm.
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