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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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Multiple Concurrent Slotframe Scheduling for Wireless Power Transfer-Enabled Wireless Sensor Networks.

Sol-Bee Lee¹, Sam Nguyen-Xuan², Jung-Hyok Kwon³

¹Division of Software, Hallym University, 1 Hallymdaehak-gil, Chuncheon 24252, Gangwon-do, Korea.

Sensors (Basel, Switzerland)

|June 24, 2022

Summary

This study introduces a new protocol for wireless sensor networks that efficiently manage power and data transmission. The Multiple Concurrent Slotframe Scheduling (MCSS) protocol enhances performance in wireless power transfer networks.

Keywords:

IEEE 802.15.4 TSCH energy harvesting multiple concurrent slotframes slotframe length determination wireless power transfer wireless sensor network

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Area of Science:

Wireless Sensor Networks
Wireless Power Transfer
Network Protocols

Background:

Wireless sensor networks (WSNs) require efficient energy and data management.
Existing protocols struggle with heterogeneous devices and mixed traffic types in WSNs.
Wireless Power Transfer (WPT) integration presents unique scheduling challenges.

Purpose of the Study:

To propose a novel Multiple Concurrent Slotframe Scheduling (MCSS) protocol.
To optimize resource allocation for WPT-enabled WSNs with hybrid access points (HAPs) and sensor nodes.
To support diverse traffic including power, data, and control messages (CMs).

Main Methods:

Defined three Time-Slotted Channel Hopping (TSCH) concurrent slotframes: CM, HAP, and WPT slotframes.
Ensured mutually prime slotframe lengths to minimize cell overlap.
Optimized WPT slotframe length considering energy harvesting and data transmission needs.

Main Results:

MCSS demonstrated superior performance compared to legacy TSCH and TMSS protocols.
Achieved lower average end-to-end delay.
Improved aggregate throughput and average harvested energy.

Conclusions:

MCSS effectively manages resources in WPT-enabled WSNs.
The protocol enhances overall network efficiency and performance.
MCSS offers a promising solution for future WSN deployments.