Paper Info
Title
An Energy-efficient UAV-based Data Aggregation Protocol in Wireless Sensor Networks.
Abstract
Energy efficiency is an important issue in Wireless Sensor Networks (WSNs). The energy is mainly consumed by data sensing, data transmission and movement of sensors. The energy consumed by data transmission is much larger than data sensing. A potential solution for energy saving is applying the external devices to collect data to prolong the network lifetime. In this paper, we adopt an unmanned aerial vehicle (UAV) serving as the data mule and propose a novel energy-efficient UAV-based data aggregation protocol in WSNs to reduce the energy consumption of sensors. By considering a clustered WSN, our approach computes an optimal path for data mule through all cluster heads (CHs) while achieving a relatively high system-wide energy efficiency. Moreover, we introduce a genetic algorithm to derive a near-optimal solution for a large-scale WSN while reducing the computing time. We compare our protocol with state-of-the-art approaches, and the simulation results demonstrate that the proposed algorithm improves the network performance on energy efficiency.
Year
DOI
Venue
2018
10.1145/3272036.3272047
MSWIM '18: 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems Montreal QC Canada October, 2018
Keywords
Field
DocType
Wireless sensor network, energy efficiency, routing, data mule, unmanned aerial vehicle
Data transmission,Computer science,Efficient energy use,Energy consumption,Wireless sensor network,Data aggregator,Genetic algorithm,Network performance,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-5964-1
3
0.37
References 
Authors
25
3
Name
Order
Citations
PageRank
Qiyue Wu160.74
Peng Sun215027.89
Boukerche, A.36116.98