A Novel Framework and Enhanced QoS Big Data Protocol for Smart City Applications

Area of Science:

• Computer Science
• Electrical Engineering
• Smart City Technologies

Background:

• The Internet of Things (IoT) integrates diverse devices for seamless communication, enabling digital services.
• Building a universal IoT framework is challenging due to device, platform, and service heterogeneity.
• Smart City applications leverage IoT for advanced communication to enhance citizen quality of life.

Purpose of the Study:

• To propose a novel framework for Big Data analytics in Smart City applications within an IoT context.
• To enhance energy conservation and reduce data gathering delays at sensor nodes in IoT frameworks.
• To develop an efficient wireless sensor network (WSN) protocol optimized for Quality of Service (QoS) in Smart City IoT scenarios.

Main Methods:

• A five-layer architecture for IoT Big Data analytics in Smart Cities is proposed, including technology, data source, data management, application, and utility layers.
• A new Quality of Service-enabled IoT (QoS-IoT) protocol is developed for the top layer of the proposed architecture.
• The proposed QoS-IoT protocol is validated against traditional protocols in a Smart City Big Data in IoT context.

Main Results:

• The proposed QoS-IoT protocol demonstrates enhanced energy conservation at sensor nodes.
• The novel approach significantly reduces the delay in Big Data gathering within the IoT framework.
• The QoS-IoT protocol offers optimized Quality of Service compared to traditional protocols for Smart City applications.

Conclusions:

• The developed QoS-IoT protocol effectively addresses the challenges of Big Data analytics in Smart City IoT environments.
• The proposed framework and protocol contribute to more efficient and reliable data gathering and communication in Smart Cities.
• This research facilitates the vision of Smart Cities by improving the performance of underlying IoT infrastructure.