Energy Efficiency in IoT and Wireless Sensor Networks
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 2679
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent advancements in integrated circuit technology have led to the ubiquitous deployment of new low-cost, tiny sensors and actuators in Internet of Things (IoT) applications like smart homes, smart cities, healthcare, wearables, transportation, security, surveillance, critical infrastructure security, and food safety. To handle the limited onboard energy resources and enable the perpetual network operation of IoT and wireless sensor networks (WSNs), these sensor nodes need to employ energy-efficient communication protocols, and it is necessary to develop optimal energy management policies as well as energy-aware self-organization mechanisms.
On another front, with the growth of these low-cost and high-end wireless devices in the IoT, Quality of Service (QoS)-aware connectivity and energy sustainability have become the two major bottlenecks to be overcome in order to meet the ever-increasing demand for pervasive sustainable computing in advanced wireless sensor networks. As these IoT applications have even stricter QoS requirements, they consume extensive energy, causing very low battery life for high-end mobile devices and eventually contributing to user dissatisfaction. To tackle these problems of pervasive computing and energy sustainability, novel green designs for smart wireless energy harvesting (EH) protocols, both from signal processing and telecommunication networking perspectives, using artificial intelligence tools, are required to allow self-organizability in IoT nodes. Energy-efficient IoT and WSN can reduce the growing environmental footprint of computer networks and information and communications technology (ICT) infrastructure due to their significant energy consumption, heavy burden on electric grids, and greenhouse gas emission. So, there has been an increasing need for energy-efficient cooperative multi-antenna transmission schemes to enhance the achievable joint spatial spectrum and energy efficiency performance. More specifically, noting the stringent EH demands, optimal novel energy cooperation techniques such as energy relaying, energy sharing, energy borrowing, energy scavenging, and, more importantly, energy trading, are being explored. Novel massive array processing techniques for supporting energy beamforming, spatial multiplexing, beam alignment, and selection for hybrid architectures are also gaining interest with the aim of minimizing energy dissipation losses. Further, these energy demands of IoT and WSNs can be reduced through efficient cross-layer protocols exploiting energy-aware routing algorithms and power-saving modes at the sensor nodes, in addition to exploring advanced distributed data storage and dissemination to save energy.
This Special Issue aims to bring together the recent developments and original contributions related to Energy Efficiency in IoT and WSNs.
Dr. Deepak Mishra
Guest Editor
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Keywords
- joint PHY–MAC layer optimization for energy efficiency
- low-power, distributed data processing on sensors
- energy harvesting, storage, recycling, and wireless power transfer
- green energy and power systems for smart grids and smart cities
- green social networks and societal applications
- energy efficiency in aerial/UAV communication and cognitive radio networks
- applications of blockchain in energy management and trading
- energy-efficient beamforming, modulation, and coding techniques for green IoT and WSNs
- context awareness and signaling for energy-saving strategies for IoT and WSNs
- advances in green software, hardware, sensors, and devices for smart cities
- antenna design and transmission technologies for reducing energy consumption
- energy-efficient public health solutions based on 5G networks
- energy-efficient automation and industrial communications
- techniques for ensuring Quality of Service (QoS) in energy-efficient IoT and WSNs
- cross-layer design and optimization for green communications and computing
- economics and pricing for green systems and services
- energy footprint evaluation in networks and computing architectures
- experimental test beds and results for green communications and computing in IoT and WSNs
- field trials and deployment experiences of sustainable IoT and WSNs
- green communications via backscatter and meta-surfaces
- green optical communications, switching and networking
- renewable power at the service of data centers, edge, fog and cloud computing
- security and privacy in energy-efficient IoT and WSNs
- standardization, policy and regulation for green IoT and WSNs
- carbon-neutral or zero-emission base stations, communication devices, and networks
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