Research Article
Optimal Time Splitting in Wireless Energy Harvesting-Enabled Sensor Networks
@INPROCEEDINGS{10.1007/978-3-031-48891-7_21, author={Dipen Bepari and Soumen Mondal and Prakash Pareek and Nishu Gupta}, title={Optimal Time Splitting in Wireless Energy Harvesting-Enabled Sensor Networks}, proceedings={Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II}, proceedings_a={IC4S PART 2}, year={2024}, month={1}, keywords={Wireless energy harvesting Sensor networks Sum throughput Outage}, doi={10.1007/978-3-031-48891-7_21} }- Dipen Bepari
Soumen Mondal
Prakash Pareek
Nishu Gupta
Year: 2024
Optimal Time Splitting in Wireless Energy Harvesting-Enabled Sensor Networks
IC4S PART 2
Springer
DOI: 10.1007/978-3-031-48891-7_21
Abstract
This research paper presents a study on wireless energy harvesting (WEH) protocols and their impact on the performance of sensor networks. A time switching (TS)-based WEH protocol is proposed, which allows sensor nodes to switch between energy harvesting and data transmission modes. The primary objective of this research is to maximize the uplink (UL) sum throughput while considering the constraint of a minimum downlink (DL) throughput. To achieve this, an optimization problem is formulated, and the Karush-Kuhn-Tucker (KKT) conditions and Lagrangian multiplier are employed to solve the optimization problem. Additionally, a UL-DL channel gain-based unequal sensor node operating time scheme is introduced. The results of the study demonstrate that increasing the DL threshold data rate enhances UL performance in terms of sum throughput and outage. Moreover, the proposed channel gain-based unequal operating time scheme outperforms the equal sensor node operating time approach.
