IEEE Wireless Sensor Network
With the increasing deployment of the Internet of Things (IoT) applications, the demand for energy efficiency (EE) and quality-of-service (QoS) guarantee is on the rise. This paper considers the typically contradicting requirements for EE and QoS provisioning in an integrated manner for an IEEE 802.15.4-based wireless sensor network (WSN). Specifically, we consider variable traffic conditions of IoT applications in the presence of an energy harvesting technique based on the movement of vehicles. To this end, we introduce an adaptive energy-efficient algorithm, referred to as ABSD, that adapts the medium access control (MAC) parameters of IEEE 802.15.4 sensor nodes in response to the queue occupancy level of sensor nodes and the offered traffic load levels. By adapting the transmission parameters, the ABSD algorithm minimizes the network contention level which could in turn improve the EE as well as the network throughput. The ABSD algorithm is further enhanced by integrating with an energy harvesting technique and a new MAC parameter known as the ‘energy backoff’. The enhanced algorithm referred to as EH-ABSD offers priority to different classes of traffic by improving the battery lifetime and QoS values under variable traffic load conditions. Numerical results confirm that our proposed algorithms achieve high EE and QoS values while extending the lifetime of sensor nodes for outdoor applications.
- Adaptive duty cycle;
- Energy backoff;
- Energy harvesting;
- IEEE 802.15.4;
- Piezoelectric and vehicular traffic
© 2016 Elsevier B.V. All rights reserved.
Thien Duc Nguyen received the B.Eng. degree in telecommunication engineering from Hanoi University of Science and Technology, Vietnam in 2006 and the M.Sc. degree in electrical engineering (communication) from the Danang University, Vietnam in 2010. Since 2006, he has been a Lecturer with the Faculty of Technique and Technology, Quynhon University, Vietnam. He is currently working toward the Ph.D. degree in electrical engineering with the School of Electrical Engineering and Computer Science, the University of Newcastle, Australia in 2014. His main areas of research interests are Wireless Sensor Networks, Energy harvesting Networks, Smart Grid and radio resource allocation for wireless communications systems.
Jamil Yusuf Khan received his Ph.D in Electronic and Electrical Engineering from the University of Strathclyde, Glasgow, Scotland in 1991. In 1992 he worked as an academic in the Institute of Information Science and Technology, Massey University. He moved to the University of Newcastle, Australia in 1999. Currently he is an Associate Professor in the School of Electrical Engineering and Computer Science, where he leads the Telecommunications Network research group. His main areas of research interests are Wireless Networks, Wireless Sensor Networks, Cooperative and Cognitive Networks, Energy harvesting Networks and Smart Grid. He is a senior member of the IEEE Communications society and a member of the ACM.
Duy Trong Ngo received the B.Eng. (with First-Class Honours and University Medal) degree in telecommunication engineering from The University of New South Wales, Australia in 2007, the M.Sc. degree in electrical engineering (communication) from University of Alberta, Canada in 2009, and the Ph.D. degree in electrical engineering from McGill University, Canada in 2013. Since 2013, he has been a Lecturer with the School of Electrical Engineering and Computer Science, The University of Newcastle, Australia. His research interest is in the area of radio resource allocation and interference management for wireless communication systems.