Intelligent Energy Management for Wireless Sensor Networks and Internet of Things

Dear colleagues,

Today, the goal of satisfying energy requirements is crucial in a number of trends, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). The design and implementation of energy-aware approaches is a challenging open issue in many applications.

The integration of new technologies and methods into smart and expert systems is highly beneficial for limiting the power consumption of devices. In this way, it would be possible to develop applications that rapidly adapt and respond both to changes in markets’ demands for high-quality products and to the satisfaction of user experience. In fact, smart energy-aware systems lie at the core of Smart Cities, Industry 4.0, medical applications, Body Area Networks, and Smart Homes, with many other possibilities.

A variety of recent advanced technologies and approaches play important roles in intelligent energy management for WSNs and IoT by exploiting innovative technologies and solutions and/or optimization methods. They allow higher levels of adaptiveness and flexibility in energy-aware systems.

This Special Issue solicits high-quality unpublished work on recent advances in energy-aware smart systems in WSN and IoT scenarios. The main topics of interest include, but are not limited to, the following:

• Green communication architectures and technologies;
• Low-power wireless technologies: IEEE 802.15.4, Bluetooth Low Energy, LoRa/LoRaWAN, Sigfox, NB-IoT, etc.;
• 5G and Beyond 5G low-power solutions for IoT;
• Low-power IP-based solutions for IoT: 6LoWPAN/6Lo, 6TiSCH, IETF LPWAN, RPL, CoAP, HTTP, etc.;
• Energy harvesting;
• Ultralow power management;
• Machine learning solutions in IoT devices;
• Energy-aware routing protocols for WSNs;
• Sustainable design and solutions for green automation systems;
• System-on-chip vs. network-on-chip architectures in green automation systems;
• Energy-efficient communications and management in medical automation applications;
• Big data and data management in energy-aware scenarios;
• Security and cyber-security vs. energy consumption requirements;
• Real low-power IoT applications and implementations.

Dr. Davide Brunelli
Prof. Dr. Mario Collotta
Dr. Renato Ferrero
Dr. Carles Gomez
Guest Editors

Manuscript Submission Information

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