Energy Storage Overflow-Aware Data Delivery Scheme for Energy Harvesting Wireless Sensor Networks

Area of Science:

• Computer Science
• Electrical Engineering
• Wireless Communication

Background:

• Energy-harvesting wireless sensor networks (EH-WSNs) rely on energy storage for harvested energy.
• Energy storage overflow (ESO) occurs when storage is full, preventing new energy storage and causing energy waste.
• Traditional data delivery schemes suffer from "energy hungry and surplus coexistence," where some nodes lack energy while others waste surplus energy due to ESO.

Purpose of the Study:

• To address the energy waste and data delivery challenges caused by Energy storage overflow (ESO) in Energy-harvesting Wireless Sensor Networks (EH-WSNs).
• To introduce a novel data delivery scheme that enhances the amount of data successfully transmitted to the sink node.

Main Methods:

• The study proposes the ESO-aware multiple path (EAMP) data delivery scheme.
• EAMP constructs multiple disjoint paths between the source node and the sink node.
• Data is split into multiple pieces, with each piece transmitted through a separate path to mitigate ESO.

Main Results:

• Simulation results demonstrate that the EAMP scheme effectively mitigates Energy storage overflow.
• The proposed EAMP scheme significantly increases the amount of data delivered to the sink compared to existing methods.
• The scheme addresses the "energy hungry and surplus coexistence" problem by better managing harvested energy.

Conclusions:

• The ESO-aware multiple path (EAMP) scheme is an effective solution for improving data delivery in Energy-harvesting Wireless Sensor Networks.
• By intelligently managing data transmission across multiple paths, EAMP reduces energy waste caused by Energy storage overflow.
• This approach enhances the overall efficiency and performance of EH-WSNs.