Due to recent advancements in big data, connection technologies, and smart devices, our environment is transforming into an “Internet of Everything” (IoE) environment. The Internet of Everything has become a catchall phrase for describing adding connectivity and intelligence to just about every device in order to give them special functions. However, this can be quite reductive, as IoE provides links not only among things but also among data, people, and (business) processes. Evolution of current sensor and device networks, with strong interaction with people and social environments, will have a dramatic impact on everything from city planning, first responders, and military to health. Several Internet and connection-based paradigms fall under the IoE umbrella, such as Internet of Thing (IoT), Internet of People (IoP), and Industrial Internet (II).

While such areas cover many aspects of today’s life, there is still the strong requirement to contextualize and integrate data and information coming from different networks and frameworks. Indeed, there is the need to provide a common ground for integrating information coming from heterogeneous sources. Such a shared ecosystem would allow for the interaction among data, sensor inputs, and heterogeneous systems. In order to enable such an integrated framework, some fundamental issues are required to be addressed to provide the necessary bridge between different data representations and to solve terminology incongruence.

Furthermore, with the advent of big data, the increment in the volume of exchanged information and the diffusion of smart devices and sensors, providing a ubiquitous connectivity for everyone, is necessary to identify techniques, methodologies, and technologies that are able to manage and integrate heterogeneous interconnected sources. The necessity to integrate data coming from distributed devices, sensor networks, social networks, biomedical instruments, and so on requires, first of all, systematizing the current state of the art in such fields. Then, it is necessary to identify a common action thread to actually merge and homogenize standards and techniques applied in such heterogeneous field. The exact requirements of an IoE environment need to be precisely identified and formally expressed. Finally, the role of modern computing paradigms, such as cloud and fog computing, needs to be assessed also in respect to the requirements expressed by an IoE ecosystem.

This special issue will specifically focus on exploring recent advances in the IoE and related fields. We welcome authors to present new techniques, methodologies, and research directions to unsolved issues.

Potential topics include but are not limited to the following:

• Next generation network architectures for IoE
• Sensor systems and devices supported for IoE
• Cyber-physical-social systems for IoE
• Smart city and supporting technologies
• Intelligent systems and services computing for IoE
• Data and knowledge management support for IoE
• Cloud computing and fog computing for IoE
• Security, privacy, and trust in IoE
• Communication, networking, and monitoring for IoE
• Healthcare modeling and simulation in IoE
• Knowledge discovery and decision support for IoE
• Evolutionary computing and swarm intelligence for IoE
• Big data and smart data applications in IoE