What question did this study set out to answer?

To develop a scalable software-defined wireless sensor network framework that mitigates controller-bound traffic overhead and conserves energy through intelligent state prediction.

January 1, 2024IEEE AccessOpen Access

SSDWSN: A Scalable Software-Defined Wireless Sensor Networks

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Authors

MAMohammed AlsaeediUniversity of Technology Malaysia MMMohd Murtadha MohamadMalaysia University of Science and Technology AAAnas Al-RoubaieyKing Fahd University of Petroleum and Minerals

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Implication

Simulation study demonstrates reduced traffic overhead and enhanced energy efficiency in software-defined sensor networks, indicating improved scalability for multi-hop deployments.

Key Points

To develop a scalable software-defined wireless sensor network framework that mitigates controller-bound traffic overhead and conserves energy through intelligent state prediction.
Formulated the SSDWSN framework incorporating scheduling, balanced routing, and aggregation strategies driven by deep reinforcement learning.
Developed and evaluated two Proximal Policy Optimization policies, PPO-ATCP and PPO-NSFP, to forecast network state changes and adjust parameters via reward functions.
PPO-ATCP and PPO-NSFP reduced controller-bound traffic overhead by 57% and 85%, respectively.
Energy efficiency increased by 28% with PPO-ATCP and by 53% with PPO-NSFP.
PPO-NSFP achieved at least 85% accuracy in predicting the network state across diverse network-size scenarios.

Cite This Study

Alsaeedi et al. (2024) studied this question.

synapsesocial.com/papers/6a771fbfdf493903fd1eb00a https://doi.org/10.1109/access.2024.3362353

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Implication

Simulation study demonstrates reduced traffic overhead and enhanced energy efficiency in software-defined sensor networks, indicating improved scalability for multi-hop deployments.

SSDWSN: A Scalable Software-Defined Wireless Sensor Networks

Discussion

Member takes

Implication

Key Points

Cite This Study

SSDWSN: A Scalable Software-Defined Wireless Sensor Networks

Discussion

Member takes

Implication

Key Points

Cite This Study

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