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eDirect: Energy-Efficient D2D-Assisted Relaying Framework for Cellular Signaling Reduction | IEEE Journals & Magazine | IEEE Xplore

eDirect: Energy-Efficient D2D-Assisted Relaying Framework for Cellular Signaling Reduction


Abstract:

Mobile Instant Messaging (IM) apps, such as WhatsApp and WeChat, frequently send heartbeat messages to remote servers to maintain their always-online status. Periodic hea...Show More

Abstract:

Mobile Instant Messaging (IM) apps, such as WhatsApp and WeChat, frequently send heartbeat messages to remote servers to maintain their always-online status. Periodic heartbeat messages are small in size, but their transmissions incur heavy signaling traffic due to frequently establishing and releasing communication channels between Base Stations (BSs) and smartphones, known as the signaling storm. Meanwhile, smartphones also need to activate the cellular data communication module frequently for transmitting short heartbeat messages, resulting in substantial energy consumption. To address these issues, we present eDirect, an energy-efficient D2D-assIsted Relaying framEwork for Cellular signaling reducTion. eDirect selects active smartphones as relays to opportunistically collect heartbeat messages from nearby smartphones using energy-efficient D2D communication. The collected heartbeat messages are transmitted to the BS in an aggregated manner to reduce cellular signaling traffic. Based on the beating frequencies and deadlines of the collected heartbeat messages, eDirect schedules transmissions of the collected heartbeat messages to minimize signaling overhead and energy consumption while meeting the deadline constraints. We implement and evaluate our solution on Android smartphones. The results from real-world experiments show that our solution reduces signaling traffic by at least 50% and energy consumption by up to 36%.
Published in: IEEE/ACM Transactions on Networking ( Volume: 28, Issue: 2, April 2020)
Page(s): 860 - 873
Date of Publication: 28 February 2020

ISSN Information:

Funding Agency:

Author image of Xiaomeng Yi
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Xiaomeng Yi received the Ph.D. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China, in 2017. His current research interests focus on modeling and performance optimization of GPU accelerated data processing systems.
Xiaomeng Yi received the Ph.D. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China, in 2017. His current research interests focus on modeling and performance optimization of GPU accelerated data processing systems.View more
Author image of Li Pan
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Li Pan received the B.Eng. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His current research interests focus on edge computing and mobile computing.
Li Pan received the B.Eng. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His current research interests focus on edge computing and mobile computing.View more
Author image of Yanqi Jin
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Yanqi Jin received the B.Eng. degree from the School of Automation, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His research interests include mobile computing and green computing.
Yanqi Jin received the B.Eng. degree from the School of Automation, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His research interests include mobile computing and green computing.View more
Author image of Fangming Liu
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Fangming Liu (Senior Member, IEEE) received the B.Eng. degree from Tsinghua University, Beijing, and the Ph.D. degree from The Hong Kong University of Science and Technology, Hong Kong. He is currently a Full Professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He rec...Show More
Fangming Liu (Senior Member, IEEE) received the B.Eng. degree from Tsinghua University, Beijing, and the Ph.D. degree from The Hong Kong University of Science and Technology, Hong Kong. He is currently a Full Professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He rec...View more
Author image of Minghua Chen
School of Data Science, City University of Hong Kong, Hong Kong
Minghua Chen (Senior Member, IEEE) received the B.Eng. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, in 1999 and 2001, respectively, and the Ph.D. degree from the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, in 2006. He worked with Microsoft Research Redmond and The Chinese University of Hong Kong, before joining the School of Data...Show More
Minghua Chen (Senior Member, IEEE) received the B.Eng. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, in 1999 and 2001, respectively, and the Ph.D. degree from the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, in 2006. He worked with Microsoft Research Redmond and The Chinese University of Hong Kong, before joining the School of Data...View more

Author image of Xiaomeng Yi
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Xiaomeng Yi received the Ph.D. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China, in 2017. His current research interests focus on modeling and performance optimization of GPU accelerated data processing systems.
Xiaomeng Yi received the Ph.D. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China, in 2017. His current research interests focus on modeling and performance optimization of GPU accelerated data processing systems.View more
Author image of Li Pan
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Li Pan received the B.Eng. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His current research interests focus on edge computing and mobile computing.
Li Pan received the B.Eng. degree from the School of Computer Science and Technology, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His current research interests focus on edge computing and mobile computing.View more
Author image of Yanqi Jin
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Yanqi Jin received the B.Eng. degree from the School of Automation, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His research interests include mobile computing and green computing.
Yanqi Jin received the B.Eng. degree from the School of Automation, Huazhong University of Science and Technology, China, where he is currently pursuing the M.Eng. degree with the School of Computer Science and Technology. His research interests include mobile computing and green computing.View more
Author image of Fangming Liu
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Fangming Liu (Senior Member, IEEE) received the B.Eng. degree from Tsinghua University, Beijing, and the Ph.D. degree from The Hong Kong University of Science and Technology, Hong Kong. He is currently a Full Professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He received the National Natural Science Fund (NSFC) for Excellent Young Scholars, and the National Program Special Support for Top-Notch Young Professionals. He is a recipient of the Best Paper Award of the IEEE/ACM IWQoS 2019, ACM e-Energy 2018, and the IEEE GLOBECOM 2011, as well as the First Class Prize of the Natural Science of Ministry of Education in China.
Fangming Liu (Senior Member, IEEE) received the B.Eng. degree from Tsinghua University, Beijing, and the Ph.D. degree from The Hong Kong University of Science and Technology, Hong Kong. He is currently a Full Professor with the Huazhong University of Science and Technology, Wuhan, China. His research interests include cloud computing and edge computing, datacenter and green computing, SDN/NFV/5G, and applied ML/AI. He received the National Natural Science Fund (NSFC) for Excellent Young Scholars, and the National Program Special Support for Top-Notch Young Professionals. He is a recipient of the Best Paper Award of the IEEE/ACM IWQoS 2019, ACM e-Energy 2018, and the IEEE GLOBECOM 2011, as well as the First Class Prize of the Natural Science of Ministry of Education in China.View more
Author image of Minghua Chen
School of Data Science, City University of Hong Kong, Hong Kong
Minghua Chen (Senior Member, IEEE) received the B.Eng. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, in 1999 and 2001, respectively, and the Ph.D. degree from the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, in 2006. He worked with Microsoft Research Redmond and The Chinese University of Hong Kong, before joining the School of Data Science, The City University of Hong Kong as aFull Professor in 2019. His current research interests include online optimization and algorithms, energy systems, such as smart power grids and energy-efficient data centers, intelligent transportation systems, distributed optimization, delay-constrained network coding, networked systems, and capitalizing the benefit of data-driven prediction in algorithm/system design. He received the Eli Jury Award from UC Berkeley in 2007 (presented to a graduate student or recent alumnus for outstanding achievement in the areas of systems, communications, control, or signal processing) and The Chinese University of Hong Kong Young Researcher Award in 2013. He also received several best paper awards, including the IEEE ICME Best Paper Award in 2009, the IEEE TRANSACTIONS ON MULTIMEDIA Prize Paper Award in 2009, and the ACM Multimedia Best Paper Award in 2012. He also coauthored several papers that received the Best Paper Award Runner-Up/Finalist/Candidate in conferences, including ACM MobiHoc in 2014 and ACM e-Energy in 2015, 2016, 2018, and 2019. He received the ACM Recognition of Service Award in 2017 for the service contribution to the research community. Since 2016, he has been serving as the TPC Co-Chair, the General Chair, and the Steering Committee Chair for ACM e-Energy. He is currently serving as the TPC Co-Chair for ACM MobiHoc. He has served as an Associate Editor for the IEEE/ACM TRANSACTIONS ON NETWORKING from 2014 to 2018.
Minghua Chen (Senior Member, IEEE) received the B.Eng. and M.S. degrees from the Department of Electronic Engineering, Tsinghua University, in 1999 and 2001, respectively, and the Ph.D. degree from the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, in 2006. He worked with Microsoft Research Redmond and The Chinese University of Hong Kong, before joining the School of Data Science, The City University of Hong Kong as aFull Professor in 2019. His current research interests include online optimization and algorithms, energy systems, such as smart power grids and energy-efficient data centers, intelligent transportation systems, distributed optimization, delay-constrained network coding, networked systems, and capitalizing the benefit of data-driven prediction in algorithm/system design. He received the Eli Jury Award from UC Berkeley in 2007 (presented to a graduate student or recent alumnus for outstanding achievement in the areas of systems, communications, control, or signal processing) and The Chinese University of Hong Kong Young Researcher Award in 2013. He also received several best paper awards, including the IEEE ICME Best Paper Award in 2009, the IEEE TRANSACTIONS ON MULTIMEDIA Prize Paper Award in 2009, and the ACM Multimedia Best Paper Award in 2012. He also coauthored several papers that received the Best Paper Award Runner-Up/Finalist/Candidate in conferences, including ACM MobiHoc in 2014 and ACM e-Energy in 2015, 2016, 2018, and 2019. He received the ACM Recognition of Service Award in 2017 for the service contribution to the research community. Since 2016, he has been serving as the TPC Co-Chair, the General Chair, and the Steering Committee Chair for ACM e-Energy. He is currently serving as the TPC Co-Chair for ACM MobiHoc. He has served as an Associate Editor for the IEEE/ACM TRANSACTIONS ON NETWORKING from 2014 to 2018.View more
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