Improving Routing for Energy Neutral Wireless Sensor Network Based on SWIPT in Wireless Powered Communication Networks With FFO Optimization

In this project, introduction of a new ENO framework. The investigation of the energy-neutral operation (ENO) of a wireless sensor network (WSN) deployed in a wirelessly powered communication network. While nodes which were harvested will still contains energy left over even though already participated in number of rounds, the CH in this network faces energy constraint. Here, the use of the simultaneous wireless information and power transfer (SWIPT) technology to maximize the possible pace of the sensor data, allowing the sensor nodes to collaboratively provide data while transferring the energy remained to CH. In addition to providing a framework for SWIPT operation, rate improvement subject to ENO, clustering, SWIPT ratio optimization, and the CH selection algorithm, here, proposed an ENO framework that guarantees ENO. And at the final phase i.e., routing will be done using Fire Fly Optimization (FFO) for making robust and efficient routing. The FFO is an algorithm that is more suited for making high energy nodes into routing making sure effective packets transmission.

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Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1109/icoact63339.2025.11005072
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving Routing for Energy Neutral Wireless Sensor Network Based on SWIPT in Wireless Powered Communication Networks With FFO Optimization

M. V. Vijaya Saradhi, M Praveen, K. NavyaSai
Energy Harvesting in Wireless Networks
article

Improving Routing for Energy Neutral Wireless Sensor Network Based on SWIPT in Wireless Powered Communication Networks With FFO Optimization

M. V. Vijaya Saradhi, M Praveen, K. NavyaSai
article en

Abstract

In this project, introduction of a new ENO framework. The investigation of the energy-neutral operation (ENO) of a wireless sensor network (WSN) deployed in a wirelessly powered communication network. While nodes which were harvested will still contains energy left over even though already participated in number of rounds, the CH in this network faces energy constraint. Here, the use of the simultaneous wireless information and power transfer (SWIPT) technology to maximize the possible pace of the sensor data, allowing the sensor nodes to collaboratively provide data while transferring the energy remained to CH. In addition to providing a framework for SWIPT operation, rate improvement subject to ENO, clustering, SWIPT ratio optimization, and the CH selection algorithm, here, proposed an ENO framework that guarantees ENO. And at the final phase i.e., routing will be done using Fire Fly Optimization (FFO) for making robust and efficient routing. The FFO is an algorithm that is more suited for making high energy nodes into routing making sure effective packets transmission.

Saveetha University (IN)
Affordable and clean energy
Openalex Percentile: Top 91%
Energy Harvesting in Wireless Networks
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