Solutions for Industrial Internet of Things (IIoT) Sustainability:

Over the past few years, IoT has become ubiquitous across a wide range of industries. The Internet of Things has proven its worth by facilitating low-cost, high-efficiency communication between things and devices, thus enhancing our society and industries. The Internet of Things is revolutionizing many different types of industry, including production, transportation, lamp oil, gas, and logistics. It's also gaining traction among SMEs (Small and medium-sized Enterprises). The Internet of Things (IoT) offers numerous opportunities to improve the functioning and development of SMEs.

Despite the Internet of Things' (IoT) promising applications in industry, the system built on its back must first identify the variables affecting its sustainability objectives. Long-term battery maintenance and upkeep for millions of devices is a challenging undertaking. It's crucial for running a SME, and it's also critical for the planet. Using IoT, we can, for instance, roll out a citywide network of smart recycling bins; nevertheless, the primary difficulty in managing such a network would be its reliance on battery-operated gadgets. Improving battery life could be achieved, for example, by the use of a dynamic sensing mechanism or sensing scheduling based on machine learning. For this, we are looking for high-quality, original research papers that discuss the sustainability and resource management of IoT devices in terms of current technical breakthroughs, potential real-world use cases, open research concerns, and viable solutions.

The scope of this section is broad, but are not limited to the following:

• Sustainable Internet of Things options for small and medium-sized businesses;

• The use of efficient protocols at the medium access control (MAC), network, and physical

  layers to manage IoT resources;

• Machine learning and sophisticated data processing in the Internet of Things to streamline

  resource management;

• Improvements to the Internet of Things through cloud and edge computing;

• Modeling the Internet of Things with Big Data;

• IoT data management and storage;

• Research using real-world IoT use cases and experimental test beds.