VNU-UET Repository: No conditions. Results ordered -Date Deposited. 2024-03-29T01:00:20ZEPrintshttp://eprints.uet.vnu.edu.vn/images/sitelogo.pnghttps://eprints.uet.vnu.edu.vn/eprints/2022-08-22T04:05:51Z2022-08-22T04:05:51Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/4761This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/47612022-08-22T04:05:51ZCross-Layer Design for Wireless Sensor Networks Using Cooja Tool in Contiki Operating SystemRPL is a routing protocol for low power and lossy networks (LLNs) or wire-less sensor networks (WSNs). In recent years, this protocol is considered more and more by research communities in the world because of its poten-tial benefits on the internet of things (IoT) applications. However, this pro-tocol still has some drawbacks related to balancing packet traffic and saving consumed energy of sensor nodes which needs to be improved. In this pa-per, we propose an enhanced routing protocol based on ContikiMAC and RPL protocols in the Contiki operating system approached on the cross-layer design, named CL-RPL. By analyzing and evaluating the affection of the proposed protocol using the Cooja tool in the Contiki operating system, we estimated the consumed battery energy of sensor nodes in WSNs and proved that our CL-RPL protocol can support the system performances bet-ter than the previous original RPL protocol in terms of network lifetime and packet delivery ratio.Canh Minh Nguyenncminh@utc.edu.vnDuc Tan Trantan.tranduc@phenikaa-uni.edu.vnQuang Trung Hoangtrung.hoangquang@phenikaa-uni.edu.vnTrung Ninh Buininhbt@vnu.edu.vnQuoc Anh Giangianquocanh@gmail.comBhanu Prakash Kolladrkbp1981@gmail.comEl-Rabaie Sayedsrabie1@yahoo.com2018-11-15T09:21:06Z2018-11-15T09:21:06Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/3168This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/31682018-11-15T09:21:06ZCow Behavior Monitoring Using a Multidimensional
Acceleration Sensor and Multiclass SVMThe daily behavior of dairy cows reflects the health status and well being.An automated monitoring system is needed for suitable management. It helps farmers to have a comprehensive view of the cattle healthy and manage large of cows. Acceleration sensors can be found in various kinds of applications. In this paper, we detect the cow’s activities by using a multidimensional acceleration sensor and multiclass support vector machine (SVM). The acceleration sensor is attached to the cow’s neck-collar in order to sense the movements in X, Y, and Z axes. The data is brought to a microprocessor for pre-processing, and join in a wireless sensor network (WSN) through a Zigbee module. After that, the data are transferred to the server. At the server, a suitable SVM algorithm is chosen and applied to classify four main behaviors: standing, lying, feeding and walking. A well know kernels, Radius
Basic Function (RBF), is chosen. After that, a cross validation (k-fold) is used to measure the error and select the best fit model. The sensor is used to acquire experimental data from Vietnam Yellow cows in the cattle
farm. The promising results with the average sensitivity of 87.51% and the average precision of 90.24% confirm the reliability of our solution. The classification results can be automatically uploaded to the cloud internet and the farmer can easily access to check the status of his cows.Quang Trung Hoanghqtrung@ictu.edu.vnCong Phi Khanh Phungphungcongphikhanh@gmail.comTrung Ninh Buininhbt@vnu.edu.vnThi Phuong Dung Chudungctp@vnu.edu.vnDuc Tan Trantantd@vnu.edu.vn2015-08-31T07:51:10Z2016-12-07T15:39:59Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1360This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/13602015-08-31T07:51:10ZCross-Layer Design of Bidirectional-Traffic Supported Cooperative MAC ProtocolQuang Trung HoangXuan Nam Trannamtx@mta.edu.vnLinh Trung Nguyenlinhtrung@vnu.edu.vn