The graphical abstract introduces the IoT monitoring system model. The IoT monitoring system consists of a perception layer, a network layer, and an application layer, wh...
Abstract:
With the continuous development of the Chinese economy and the gradual acceleration of urbanization, it has caused tremendous damage to the environment. The bad air envir...Show MoreMetadata
Abstract:
With the continuous development of the Chinese economy and the gradual acceleration of urbanization, it has caused tremendous damage to the environment. The bad air environment seriously damages the physical and mental health of the people. The change in smog concentration will be affected by many realistic factors and exhibit nonlinear characteristics. The method proposed in this paper is to use the Internet of Things (IoT) technology to monitor the acquired data, process the data, and predict the next data using a neural network. The existing prediction models have limitations. They don't accurately capture the law between the concentration of haze and the factors affecting reality. It is difficult to accurately predict the nonlinear smog data. One algorithm proposed in this paper is a two-layer model prediction algorithm based on Long Short Term Memory Neural Network and Gated Recurrent Unit (LSTM&GRU). We set a double-layer Recurrent Neural Network to predict the PM2.5 value. This model is an improvement and enhancement of the existing prediction method Long Short Term Memory (LSTM). The experiment integrates data monitored by the IoT node and information released by the national environmental protection department. First, the data of 96 consecutive hours in four cities were selected as the experimental samples. The experimental results are close to the true value. Then, we selected daily smog data from 2014/1/1 to 2018/1/1 as a train and test dataset. It contains smog data for 74 city sites. The first 70% of the data was used for training and the rest for testing. The results of this experiment show that our model can play a better prediction.
The graphical abstract introduces the IoT monitoring system model. The IoT monitoring system consists of a perception layer, a network layer, and an application layer, wh...
Published in: IEEE Access ( Volume: 7)
Funding Agency:
Fujian Provincial Education Department, Engineering Research Center of Electronic Information and Control, Fuzhou, China
Baowei Wang was born in Liaocheng, Shandong, China, in 1982. He received the B.S. degree in computer science from Hunan University, Changsha, Hunan, China, in 2005, and the Ph.D. degree in computer science from Hunan University, China, in 2011. He is currently an Associate Professor with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. He has published over 50 ...Show More
Baowei Wang was born in Liaocheng, Shandong, China, in 1982. He received the B.S. degree in computer science from Hunan University, Changsha, Hunan, China, in 2005, and the Ph.D. degree in computer science from Hunan University, China, in 2011. He is currently an Associate Professor with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. He has published over 50 ...View more
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
Weiwen Kong was born in Xuzhou, Jiangsu, China, in 1994. She received the B.S. degree in software engineering from the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China, in 2018, where she is currently pursuing the M.S. degree. Her research interests include wireless sensor networks, machine learning, and data security. She is a member of the ACM.
Weiwen Kong was born in Xuzhou, Jiangsu, China, in 1994. She received the B.S. degree in software engineering from the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China, in 2018, where she is currently pursuing the M.S. degree. Her research interests include wireless sensor networks, machine learning, and data security. She is a member of the ACM.View more
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
Hui Guan was born in Shenyang, Liaoning, China, in 1973. She received the B.S. degree in applied meteorology from the Nanjing Meteorological College, and the M.S. degree in education from Nanjing University. She is currently pursuing the Ph.D. degree with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. Her research interests include the field of smog and healt...Show More
Hui Guan was born in Shenyang, Liaoning, China, in 1973. She received the B.S. degree in applied meteorology from the Nanjing Meteorological College, and the M.S. degree in education from Nanjing University. She is currently pursuing the Ph.D. degree with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. Her research interests include the field of smog and healt...View more
Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA
Neal N. Xiong received the Ph.D. degree from Wuhan University (about sensor system engineering), and the Japan Advanced Institute of Science and Technology (about dependable sensor networks). He is currently an Associate Professor (3rd year) with the Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA. Before he attended Northeastern State University, he was with Georgia State...Show More
Neal N. Xiong received the Ph.D. degree from Wuhan University (about sensor system engineering), and the Japan Advanced Institute of Science and Technology (about dependable sensor networks). He is currently an Associate Professor (3rd year) with the Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA. Before he attended Northeastern State University, he was with Georgia State...View more
Contents Fujian Provincial Education Department, Engineering Research Center of Electronic Information and Control, Fuzhou, China
Baowei Wang was born in Liaocheng, Shandong, China, in 1982. He received the B.S. degree in computer science from Hunan University, Changsha, Hunan, China, in 2005, and the Ph.D. degree in computer science from Hunan University, China, in 2011. He is currently an Associate Professor with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. He has published over 50 international journal and conference papers. Some of his works were published in the JIT, IJSNet, INFOCOM, ICPADS, and ICCCS. His research interests include the Internet of Things and sensor networks, data security, and mobile computing. He is a member of the ACM and CCF. He has been the TPC Chair, the Workshop Chair, and a TPC member of many international conferences, including the TURC-AIS 2019, ACM TURC 2018 and 2019, ICCCS 2018, and ICAIS 2019, and as a Reviewer of about 10 international journals, including IEEE A ccess and the Computer Communication.
Baowei Wang was born in Liaocheng, Shandong, China, in 1982. He received the B.S. degree in computer science from Hunan University, Changsha, Hunan, China, in 2005, and the Ph.D. degree in computer science from Hunan University, China, in 2011. He is currently an Associate Professor with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. He has published over 50 international journal and conference papers. Some of his works were published in the JIT, IJSNet, INFOCOM, ICPADS, and ICCCS. His research interests include the Internet of Things and sensor networks, data security, and mobile computing. He is a member of the ACM and CCF. He has been the TPC Chair, the Workshop Chair, and a TPC member of many international conferences, including the TURC-AIS 2019, ACM TURC 2018 and 2019, ICCCS 2018, and ICAIS 2019, and as a Reviewer of about 10 international journals, including IEEE A ccess and the Computer Communication.View more
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
Weiwen Kong was born in Xuzhou, Jiangsu, China, in 1994. She received the B.S. degree in software engineering from the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China, in 2018, where she is currently pursuing the M.S. degree. Her research interests include wireless sensor networks, machine learning, and data security. She is a member of the ACM.
Weiwen Kong was born in Xuzhou, Jiangsu, China, in 1994. She received the B.S. degree in software engineering from the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China, in 2018, where she is currently pursuing the M.S. degree. Her research interests include wireless sensor networks, machine learning, and data security. She is a member of the ACM.View more
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
Hui Guan was born in Shenyang, Liaoning, China, in 1973. She received the B.S. degree in applied meteorology from the Nanjing Meteorological College, and the M.S. degree in education from Nanjing University. She is currently pursuing the Ph.D. degree with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. Her research interests include the field of smog and health, machine learning, and data security.
Hui Guan was born in Shenyang, Liaoning, China, in 1973. She received the B.S. degree in applied meteorology from the Nanjing Meteorological College, and the M.S. degree in education from Nanjing University. She is currently pursuing the Ph.D. degree with the School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China. Her research interests include the field of smog and health, machine learning, and data security.View more
Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA
Neal N. Xiong received the Ph.D. degree from Wuhan University (about sensor system engineering), and the Japan Advanced Institute of Science and Technology (about dependable sensor networks). He is currently an Associate Professor (3rd year) with the Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA. Before he attended Northeastern State University, he was with Georgia State University, Wentworth Technology Institution, and Colorado Technical University (Full Professor for about 5 years) about 10 years. His research interests include cloud computing, security and dependability, parallel and distributed computing, networks, and optimization theory. He has published over 200 international journal papers and over 100 international conference papers. Some of his works were published in the IEEE JSAC, the IEEE or ACM transactions, ACM Sigcomm workshop, the IEEE INFOCOM, ICDCS, and IPDPS. He has received the Best Paper Award in the 10th IEEE International Conference on High-Performance Computing and Communications (HPCC-08) and the Best Student Paper Award. He has been the General Chair, the Program Chair, the Publicity Chair, a PC member, and a OC member of over 100 international conferences, and as a Reviewer for about 100 international journals, including the IEEE JSAC, the IEEE SMC (Park: A/B/C), the IEEE Transactions on Communications, the IEEE Transactions on Mobile Computing, and the IEEE Transactions on Parallel and Distributed Systems. He is serving as an Editor-in-Chief, Associate Editor or Editor member for over 10 international journals, including an Associate Editor for the IEEE Transactions on Systems, Man and Cybernetics: Systems, an Associate Editor for Information Science, the Editor-in-Chief for the Journal of Internet Technology (JIT), and the Editor-in-Chief for the Journal of Parallel and Cloud Computing (PCC)), and a Guest Editor for over 10 international journals, including the Sensor Journal, WINET, and MONET.
Neal N. Xiong received the Ph.D. degree from Wuhan University (about sensor system engineering), and the Japan Advanced Institute of Science and Technology (about dependable sensor networks). He is currently an Associate Professor (3rd year) with the Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA. Before he attended Northeastern State University, he was with Georgia State University, Wentworth Technology Institution, and Colorado Technical University (Full Professor for about 5 years) about 10 years. His research interests include cloud computing, security and dependability, parallel and distributed computing, networks, and optimization theory. He has published over 200 international journal papers and over 100 international conference papers. Some of his works were published in the IEEE JSAC, the IEEE or ACM transactions, ACM Sigcomm workshop, the IEEE INFOCOM, ICDCS, and IPDPS. He has received the Best Paper Award in the 10th IEEE International Conference on High-Performance Computing and Communications (HPCC-08) and the Best Student Paper Award. He has been the General Chair, the Program Chair, the Publicity Chair, a PC member, and a OC member of over 100 international conferences, and as a Reviewer for about 100 international journals, including the IEEE JSAC, the IEEE SMC (Park: A/B/C), the IEEE Transactions on Communications, the IEEE Transactions on Mobile Computing, and the IEEE Transactions on Parallel and Distributed Systems. He is serving as an Editor-in-Chief, Associate Editor or Editor member for over 10 international journals, including an Associate Editor for the IEEE Transactions on Systems, Man and Cybernetics: Systems, an Associate Editor for Information Science, the Editor-in-Chief for the Journal of Internet Technology (JIT), and the Editor-in-Chief for the Journal of Parallel and Cloud Computing (PCC)), and a Guest Editor for over 10 international journals, including the Sensor Journal, WINET, and MONET.View more