A survey of middleware for sensor and network virtualization.

Area of Science:

• Computer Science
• Network Engineering

Background:

• Wireless Sensor Networks (WSNs) are crucial for the Internet of Everything (IoE).
• Current WSNs are typically application-specific, limiting resource aggregation and diverse application support.
• WSN virtualization via middleware is an emerging solution to address these limitations.

Purpose of the Study:

• To provide a comprehensive overview of middleware designs for Wireless Sensor Network virtualization.
• To analyze design goals, architectures, services, and programming techniques for WSN virtualization middleware.
• To present a proposed model and discuss challenges and future research directions in WSN middleware.

Main Methods:

• Literature review of existing and current middleware designs for WSN virtualization.
• Analysis of architectural components, abstracted services, and programming models.
• Development and presentation of a proposed middleware model for WSN virtualization.

Main Results:

• WSN virtualization middleware facilitates the aggregation of heterogeneous devices, networks, and software platforms.
• Key challenges in WSN virtualization middleware include efficient decoupling of networks, devices, and software.
• The study categorizes WSN virtualization middleware into sensor and network virtualization.

Conclusions:

• Middleware is essential for enabling diverse applications through aggregated resources in future WSNs.
• Further research is needed to address challenges and explore opportunities in WSN virtualization middleware design.
• The proposed model offers a foundation for developing more robust and flexible WSN virtualization solutions.