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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

An energy efficient distance-aware routing algorithm with multiple mobile sinks for wireless sensor networks.

Jin Wang¹, Bin Li², Feng Xia³

¹College of Information Engineering, Yangzhou University, Yangzhou 225009, China. wangjin@yzu.edu.cn.

Sensors (Basel, Switzerland)

|September 9, 2014

Summary

Balancing energy consumption in wireless sensor networks (WSNs) is crucial. This study proposes a mobile sink routing algorithm that improves energy efficiency and network lifetime by optimizing sink mobility.

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: March 13, 2017

Area of Science:

Computer Science
Network Engineering

Background:

Wireless sensor networks (WSNs) commonly use a many-to-one traffic model.
Nodes near static sinks deplete energy faster due to increased data forwarding, leading to network issues.

Purpose of the Study:

To propose an energy-efficient routing algorithm for WSNs using multiple mobile sinks.
To analyze the impact of mobile sink number and parking positions on network performance.

Main Methods:

Developed a distance-aware routing algorithm incorporating multiple mobile sinks.
Investigated the influence of sink node quantity and strategic parking locations.
Evaluated performance metrics including energy consumption and network lifetime.

Main Results:

Mobile sink node number and parking position significantly affect network performance.
The proposed algorithm demonstrates superior energy efficiency compared to traditional routing methods.
Sink mobility effectively balances energy consumption and prolongs network lifespan.

Conclusions:

Optimizing mobile sink strategies is key to enhancing WSN performance.
The proposed algorithm offers a viable solution for energy-efficient data collection in WSNs.
Sink mobility is a promising technique for overcoming energy limitations in WSNs.