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Updated: Feb 17, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

SACFIR: SDN-Based Application-Aware Centralized Adaptive Flow Iterative Reconfiguring Routing Protocol for WSNs.

Muhammad Aslam¹, Xiaopeng Hu², Fan Wang³

¹School of Computer Science and Technology, Dalian University of Technology, Dalian 116000, China. aslamhayat@mail.dlut.edu.cn.

Sensors (Basel, Switzerland)

|December 14, 2017

Summary

This summary is machine-generated.

Software-Defined Networking (SDN) enhances Wireless Sensor Networks (WSNs) with adaptive routing protocols. New methods like SACFIR and SAMCFIR improve network lifetime and scalability by balancing traffic and adapting reconfigurations.

Keywords:

application-specific flow reconfiguring heterogeneity awareness routing software-defined networking wireless sensor networks

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Area of Science:

Computer Science
Networking
Wireless Sensor Networks

Background:

Traditional Wireless Sensor Networks (WSNs) routing protocols struggle with dynamic environments due to limited iterative reconfiguration methods.
Constant periodic reconfigurations in WSNs lead to performance overhead, especially in challenging networking scenarios.
Software-Defined Networking (SDN) offers centralized control for dynamic network management and topology intelligence.

Purpose of the Study:

To propose novel SDN-based routing protocols, SACFIR and SAMCFIR, for efficient WSN management.
To maintain load-balancing between flow reconfigurations and flow allocation costs in WSNs.
To enhance network scalability, lifetime, and stability through adaptive and application-aware reconfigurations.

Main Methods:

Developed the SDN-based Application-aware Centralized adaptive Flow Iterative Reconfiguring (SACFIR) protocol with a centralized SDN iterative solver controller.
Implemented an iterative path-selection algorithm involving resource-based clustering and application-aware multi-hop transmissions.
Extended SACFIR to SAMCFIR for proactive and reactive reporting, enabling direct transmissions for main-value reports.

Main Results:

SACFIR and SAMCFIR protocols demonstrated superior load-balancing and adaptive reconfiguration based on traffic burden.
The proposed models achieved heterogeneity awareness and application-specific reconfigurations in WSNs.
Extensive simulations confirmed that SACFIR and SAMCFIR significantly outperform existing routing protocols in scalability, network lifetime, and stability.

Conclusions:

SDN-enabled adaptive routing protocols like SACFIR and SAMCFIR offer significant improvements for WSNs.
Centralized control and application-aware strategies effectively manage dynamic network conditions and optimize performance.
The proposed protocols provide a robust solution for enhancing the overall efficiency and longevity of Wireless Sensor Networks.