Energy-Balanced Optimization on Flying Ferry Fleet Placement for Data Gathering in Wireless Sensor Networks

doi:10.1109/ACCESS.2021.3077798

機構典藏 > College of Engineering > Graduate Institute & Department of Computer Science and Information Engineering > Journal Article > Item 987654321/122217

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122217

Title:	Energy-Balanced Optimization on Flying Ferry Fleet Placement for Data Gathering in Wireless Sensor Networks
Authors:	Hu, Chih-Lin;Huang, Sheng-Zhi;Zhang, Zenjiang;Hui, Lin
Keywords:	Flying ferry;data gathering;ferry placement optimization;wireless sensor network;flying ad hoc network
Date:	2021-05-05
Issue Date:	2022-02-24 12:11:03 (UTC+8)
Abstract:	Deploying flying ferries in large-scaled wireless sensor networks can prevent data gathering and distribution from physical communication restrictions on the ground. Ferry-assisted data distribution is straightfoward and manageable, as compared with traditional ad hoc routing over weak and multi-hop wireless networks. Our study exploits the notion of a ferry fleet that conducts teamwork for data gathering in such environments. To maximize the lifetime of a ferry fleet, we propose a fair and energy-balanced ferry fleet placement scheme, named as FEB for brevity, as jointly considering the efficiency, balance, and fairness of energy consumption. This scheme operates two mutual phases. The first phase demarcates service regions in a network using the powered-Voronoi diagram. The second phase decides a shortest-path itinerary across sensors in every service region using a genetic-based alternative of the traveling salesman problem (TSP) algorithm. Thus, this scheme is able to ensure fair task assignment, balance energy consumption, and prolong the lifetime among multiple ferries in teamwork. Performance results show that the proposed scheme outperforms several typical schemes, including Native, K-Means and Spiral, in terms of cumulative energy computation, residual energy distribution, Jain's fairness index on energy utilization, the number of alive ferries, and the total of task execution times during ferry teamwork.
Relation:	IEEE Access 9, p.70906-70923
DOI:	10.1109/ACCESS.2021.3077798
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	64	View/Open

Loading...