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Short-distance Transport of Resources

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Updated: Nov 23, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

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Published on: November 26, 2019

Survivability-Enhanced Virtual Network Embedding Strategy in Virtualized Wireless Sensor Networks.

Dapeng Wu^1,2,3, Zhenli Liu^1,2,3, Zhigang Yang^1,2,3,4

¹School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Sensors (Basel, Switzerland)

|January 5, 2021

Summary

This summary is machine-generated.

This study introduces a survivable virtual network embedding algorithm for wireless sensor networks (WSNs). It enhances virtual sensor network (VSN) survivability against physical node failures through reliability-aware mapping and backup recovery.

Keywords:

network virtualization node reliability resource reservation survivable virtual network embedding wireless sensor network

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Area of Science:

Computer Science
Network Engineering
Distributed Systems

Background:

Wireless Sensor Networks (WSNs) are increasingly deployed, driving the need for WSN virtualization.
The survivable virtual network embedding (SVNE) problem addresses mapping virtual networks onto WSNs while tolerating physical node failures.
Existing research lacks sufficient focus on survivability against physical sensor node failures in virtualized WSNs.

Purpose of the Study:

To address the lack of survivability research in virtual sensor networks (VSNs) concerning physical sensor node failures.
To develop a mathematical model for the SVNE problem considering resource constraints and physical node failures.
To propose a heuristic algorithm ensuring VSN survivability and efficient resource utilization.

Main Methods:

Mathematically modeled the SVNE problem as a mixed integer programming problem.
Developed a node reliability-aware backup survivable embedding algorithm (NCS).
Implemented a fault recovery mechanism using resource reservation and backup switching for critical virtual nodes.

Main Results:

The proposed NCS algorithm effectively guarantees VSN survivability against physical node failures.
The strategy significantly reduces failure penalties associated with physical sensor node failures.
Experimental results demonstrate improved long-term operating income for infrastructure providers.

Conclusions:

The NCS algorithm provides a robust solution for survivable virtual network embedding in WSNs.
Node reliability-aware mapping and backup mechanisms are crucial for VSN survivability.
This approach enhances the resilience and economic viability of virtualized WSN infrastructure.