Energy consumption

Wireless sensor network

Engineering

Efficient energy use

Fading

Embedded system

Layer (electronics)

Cognitive radio

Operating system

Telecommunications

Computer science

Computer network

Organic chemistry

Internet of Things

Link adaptation

Physical layer

Chemistry

Channel (broadcasting)

Wireless

Software deployment

Application layer

Electrical engineering

IEEE Transactions on Green Communications and Networking

Internet-of-Things (IoT) aims to connect intelligent things to the Internet, enable thing-to-everything communication, and sustainability sensing and control. However, the exponential increase of connected IoT devices is resulting in tremendous demand on the limited spectrum. Cognitive radio (CR) technology is envisioned to be one of the main enabling technology for efficient IoT deployment. CR offers huge spectrum opportunities for sustainable green IoT devices by opportunistically utilizing the idle licensed bands. Since most green IoT devices are expected to be sensor nodes with limited energy sources, efficient communication protocols for CR-based IoT sensor networks are needed. This paper proposes an efficient cross-layer design consisting of joint optimization of the modulation order as a physical-layer parameter and the backoff probability as a MAC-layer parameter with the objective of minimizing the energy consumption in the CR-based green IoT networks subject to IoT delay guarantees, licensed primary radio (PR) channel availability and PR user activities. Simulation results reveal that the proposed cross-layer design has significantly reduced energy consumption while achieving the delay requirements in the network compared to the physical-layer-only and MAC-layer-only adaptation schemes.

Energy-Efficient Cross-Layer Spectrum Sharing in CR Green IoT Networks