An Energy Balance Cluster Network Framework Based on SWIPT
Juan Xu, Ruofan Wang, Yan Zhang, Hongmin Huang

TL;DR
This paper introduces an energy-efficient cluster network framework for Wireless NanoSensor Networks utilizing SWIPT, aiming to extend node lifetime and improve data transmission reliability.
Contribution
The paper proposes the EBCNF framework with the EBACC clustering algorithm, enhancing energy balance and network performance in WNSNs.
Findings
Network energy consumption is more uniform.
Reduced data transmission error rate.
Improved average network throughput.
Abstract
Wireless NanoSensor Network (WNSN) is a brand-new type of sensor network with broad application prospects. In view of the limited energy of nano-nodes and unstable links in WNSNs, we propose an energy balance cluster network framework (EBCNF) based on Simultaneous Wireless Information and Power Transfer (SWIPT). The EBCNF framework extends the network lifetime of nanonodes and uses a clustering algorithm called EBACC (an energy balance algorithm for intra-cluster and inter-cluster nodes) to make the energy consumption of nodes more uniform. Simulation shows that the EBCNF framework can make the network energy consumption more uniform, reduce the error rate of data transmission and the average network throughput, and can be used as an effective routing framework for WNSNs.
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Molecular Communication and Nanonetworks · Energy Efficient Wireless Sensor Networks
