Call for Papers
for Special Issue on
Energy Efficient IoT Systems with Adaptive Sensing and Network Intelligence
Background
The Internet of Things (IoT) has become a fundamental technology paradigm for connecting sensing devices, intelligent systems, and digital services across a wide range of applications, including smart cities, industrial automation, environmental monitoring, transportation, and healthcare. With the rapid expansion of IoT networks in scale and complexity, energy consumption has become a critical challenge affecting system scalability, reliability, and long term operation. In particular, resource constrained IoT devices deployed in large scale and remote environments must continuously perform sensing, wireless communication, and data processing under limited energy budgets.
Recent advances have moved beyond conventional low power hardware designs toward adaptive sensing and intelligent network optimization. Adaptive sensing enables IoT devices to dynamical ly adjust data acquisition strategies based on environmental conditions, data characteristics, and device states, thereby reducing unnecessary sensing and communication overhead. Meanwhile, machine learning approaches, including reinforcement learning, have been increasingly explored for intelligent network management, such as routing optimization, resource allocation, edge computing, and task scheduling. These developments provide new opportunities for improving energy efficiency across sensing, communication, and computing layers.
However, achieving energy efficient and intelligent IoT systems remains challenging due to heterogeneous network environments, dynamic operating conditions, limited device capabilities, and complex trade offs among energy consumption, latency, reliability, and sensing accuracy. Therefore, integrated solutions that jointly optimize sensing, networking, and computing processes are essential for developing scalable, adaptive, and sustainable IoT systems.
Aims and Scope
This Special Issue aims to invite research contributions on recent advances in energy efficient IoT systems, with particular emphasis on adaptive sensing, network intelligence, and their coordinated optimization. It seeks to promote system level approaches that integrate sensing, communication, and computing for developing scalable, reliable, and sustainable IoT systems. Topics of interest include, but are not limited to:
- Energy efficient architectures and protocols for IoT systems
- Adaptive, context a ware, and event driven sensing for IoT
- Energy efficient sampling and data acquisition
- AI enabled network intelligence and optimization
- Energy efficient routing, communication, and resource management
- Joint sensing, communication, and computing optimization
- Edge intelligence and edge cloud collaborative computing
- Lightweight AI models and efficient inference on resource constrained devices
- Energy efficient deployment of LLMs, foundation models, and Physical AI for IoT
- Energy efficient IoT applications and re al world deployments
Manuscript Preparation and Submission
Please follow the guidelines provided on the website of the “Electronics” journal. Note that the manuscript must be submitted via the online submission system. During submission, please ensure that Energy Efficient IoT Systems with Adaptive Sensing and Network Intelligence is selected as a topic. Use provided manuscript template to prepare your paper before submission. Upon the manuscript acceptance, the author will receive detailed instructions on how to prepare their work for printing.
Submission Timeline
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