https://orcid.org/0000-0002-7365-4078
![Sample our Computer Science journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5928/TOC-Subject-Sample-2021-Computer-Science.jpg"})
ABSTRACT
This paper presents an energy-saving and lifetime-maximizing solution for the LoRa wireless mesh network (WMN). Energy dissipation is a crucial factor affecting the usability of the LoRa WMN. In the worst cases, in systems without electric mains, the life of a sensor node battery may last for only a few hours. Two proposed solutions are characterized as energy-saving due to the use of deep sleep in the ESP8266-12F microcontroller. This allows the optimization of duty cycling, which refers to the ratio between active and inactive periods of sensor nodes power-gating the node, i.e. turning off all circuitries. This solution benefits applications using active power-hungry sensors sampled many times daily. Notably, reducing power consumption during idle time increases the optimal battery life by up to hundreds of times. As a result, the automatic uptime of a LoRa WMN can increase from days to months or even years, depending on usage. Therefore, energy-saving must be optimized if the node is to be installed in locations without a grid or renewable energy source. Experimental results show that the proposed energy-saving solution is more effective than those introduced by previous studies.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Author Contributions
Conceptualization, K. A. Tran., N. H. Nguyen, D. N. M. Dang.; methodology, S. H. Hoang. and T. P. Vo.; software, T. P. Vo.; validation, D. T. Bui. and T. P. Vo.; investigation, K. A. Tran., N. H. Nguyen, D. N. M. Dang., and S. H. Hoang.; resources, S. H. Hoang, N. H. Nguyen.; data curation, T. P. Vo. and S. H. Hoang.; writing–original draft preparation, K. A. Tran., N. H. Nguyen, and D. N. M. Dang.; writing–review and editing, K. A. Tran. and N. H. Nguyen.; visualization, K. A. Tran. and N. H. Nguyen.; supervision, K. A. Tran. and D. D. Le.; project administration and funding, D. D. Le., T. T. Dang., Q. H. Nguyen., T. Q. Pham., V. L. Nguyen. All authors have read and agreed to the published version of the manuscript.
Additional information
Funding
Notes on contributors
Hoang Hai Son
Hoang Hai Son received a master's degree in electronics engineering at Ho Chi Minh University of Technical Education in 2013. He serves as the vice dean of the Faculty of Engineering and Technology, Nguyen Tat Thanh University. His research topics are the Internet of Things, artificial intelligence, wireless communication and signal processing.
Vo Phuc Tinh
Vo Phuc Tinh graduated from the Faculty of Electrical and Electronic Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. His research interests are Internet of Things, Embedded Systems, and Artificial Intelligence.
Duc Ngoc Minh Dang
Duc Ngoc Minh Dang works as a lecturer at the department of computing fundamental, FPT University, Vietnam. He received a PhD degree in computer engineering from Kyung Hee University, Korea in 2014. His research interests are vehicular ad hoc networks and MAC protocols in wireless ad hoc networks.
Bui Thi Duyen
Bui Thi Duyen received a Ph.D. degree in control and automation engineering, majoring in measurement from the Hanoi University of Science and Technology, in 2004, 2007, and 2020, respectively. Since 2005, she has been a lecturer with the Faculty of Automation Technology, Electric Power University. Her main research areas are wireless communication, indoor localization systems, meta-materials, and embedded system design.
Duy-Dong Le
Duy-Dong Le works as a lecturer in the Undergraduate Training Department at Vinh Long Campus, University of Economics Ho Chi Minh City (UEH). He holds a master's degree in computer science from the University of Information Technology, Vietnam National University Ho Chi Minh City (UIT-VNUH). He is currently pursuing a Ph.D. in computer science at Industry University Ho Chi Minh City (IUH). His areas of research expertise revolve around Deep Learning and IoT.
Thai-Thinh Dang
Thai-Thinh Dang is a deputy head of the IT Department, University of Economics Ho Chi Minh City (UEH). He holds a master's degree in computer science from the University of Information Technology, Vietnam National University Ho Chi Minh City (UIT-VNUH). He is currently pursuing a Ph.D. in computer science at UIT-VNUH. His areas of research expertise revolve around Deep Learning, IoT and IT system for education.
Quoc-Hung Nguyen
Quoc-Hung Nguyen is a lecturer, and vice dean of Business Information Technology Faculty, School of Technology and Design, University of Economics Ho Chi Minh City (UEH). He holds a master's degree in computer science from the University of Information and Communication Technology, Thai Nguyen University (UICT-TNU). He got a Ph.D. in computer science at Vietnam National University Ha Noi City. His areas of research expertise revolve around Deep Learning, Computer Vision, Data Science and Robotics.
Thanh-Qui Pham
Thanh-Qui Pham works as a lecturer at Mekong International Training Center at Vinh Long Campus, University of Economics Ho Chi Minh City (UEH). He holds bachelor and master's degrees in English from the Can Tho University. His areas of research expertise revolve around Language, Deep Learning, and IoT.
Van-Luong Nguyen
Van-Luong Nguyen is a staff of the Undergraduate Training Department at Vinh Long Campus, University of Economics Ho Chi Minh City (UEH). He holds a bachelor degree in Information Technology from Can Tho University. His areas of research expertise revolve around Deep Learning and IoT.
Tran Anh Khoa
Tran Anh Khoa received his Ph.D. degree in Information Engineering at Siena University in 2017. He is currently a lecturer at the Faculty of Electrical and Electronics Engineering, Ton Duc Thang University. His research interests include signal processing, the Internet of Things, and artificial intelligence.
Nguyen Hoang Nam
Nguyen Hoang Nam obtained his Ph.D. degree in mechanical engineering at National Chiao Tung University in 2017. He is currently a lecturer at the Faculty of Electrical and Electronics Engineering, Ton Duc Thang University. His research interests include image processing, mechatronics engineering and artificial intelligence.