DYNASTI-Dynamic Multiple RPL Instances for Multiple IoT Applications in Smart City

Area of Science:

• Computer Science
• Networking

Background:

• Smart cities increasingly utilize the Internet of Things (IoT) for multi-application scenarios, requiring tailored network traffic patterns.
• Low-Power and Lossy Networks (LLNs) are crucial for IoT, but existing routing protocols like RPL face challenges in supporting multiple applications efficiently.
• Current multi-instance RPL approaches lack the flexibility and dynamism needed for effective service differentiation.

Purpose of the Study:

• To develop a dynamic solution, DYNASTI, for managing multiple RPL instances to support diverse IoT applications in smart cities.
• To enhance traffic performance and enable service differentiation for multiple applications sharing network resources.
• To facilitate the coexistence of regular and sporadic applications within IoT networks.

Main Methods:

• Introduction of DYNASTIC: a novel framework for dynamic management of multiple RPL instances.
• Implementation of flexible and dynamic instance management strategies.
• Evaluation of DYNASTI's performance in handling distinct application requirements and traffic patterns.

Main Results:

• Significant reduction in control messages, leading to increased packet reception rates.
• Decreased end-to-end delay and reduced energy consumption across the network.
• Demonstrated improvement in service differentiation, effectively supporting both regular and sporadic IoT applications.

Conclusions:

• DYNASTI offers a dynamic and flexible approach to multi-instance RPL management for IoT.
• The proposed solution significantly enhances network performance metrics and supports diverse application needs in smart city environments.
• DYNASTI effectively addresses the limitations of existing methods, paving the way for more robust multi-application IoT networks.