Manuscript Due

Oct. 1, 2018 (in 4 months, 1 week)

Description

By 2050, urban population will increase to 2.8 billion, and the global temperatures will increase 2ยบ C with the increase of carbon release. The energy crisis and carbon emission have drawn more critical attention. Several wireless networks such as Bluetooth, WiFi, Cellular have their characteristics and applications designed for a specified device. Internet of things (IoT) network consists of a variety of devices, such as sensor devices, vehicles, home appliances, actuators, etc., providing convenient services by taking advantage of exchanged data generated from all those devices. However, IoT networks suffer from a serious issue, energy consumption. Due to humongous amounts of data collected and long periods of processing, each device in the IoT network consumes a lot of energy. Therefore, it is urgent that new designs or optimization methods should be developed for low-capacity devices, such as sensors. Additionally, it is important to utilize the spectrum efficiently for a reliable and scalable wireless network. Currently, IoT network utilizes a static radio spectrum. Research should be done to incorporate dynamic and non-orthogonal spectrums into the PHY layer of the IoT network. Consequently, well-designed systems and networks play a vital role in facing the complicated sensing demands, especially the trade-off between sensing and budgetary limitations.
In this special issue, we focus on developing algorithms for IoT networks that will ensure the following:
1. Energy Efficiency
2. Spectral Efficiency
3. Cost Efficiency
4. Quality of Service (QoS)


Lead Guest Editor

  • Yingshu Li, Georgia State University, USA

Guest Editors

  • Panlong Yang, University of Science and Technology of China, China
  • Anton Kos, University of Ljubljana, Slovenia
  • Suparna De, University of Surrey, UK
EURASIP Journal on Wireless Communications and Networking