Paper Info
Title
Coverage enhancing of 3D underwater sensor networks based on improved fruit fly optimization algorithm.
Abstract
The coverage rate of the underwater sensor networks directly influences on the monitoring efficiency in underwater environment, and it can be effectively improved by adjusting the positions of the mobile nodes reasonably for a 3D underwater sensor network which consists of mobile nodes as underwater robots like Autonomous Underwater Vehicles. An optimal deployment method can quickly set up a reasonable topology of the sensor networks and achieve a higher efficiency for detecting or investigating. An optimal algorithm of coverage enhancing for 3D Underwater sensor networks based on improved Fruit Fly Optimization Algorithm (UFOA) is proposed in this paper. This method realizes the global optimal coverage based on foraging behavior of fruit flies, and it has the features of higher speed of convergence, few parameters to set up and stronger global searching ability. Simulation result indicates that the proposed UFOA method can significantly improve the effective coverage rate of the sensor networks compared with some widely studied PSO and IPSO algorithms.
Year
DOI
Venue
2017
10.1007/s00500-017-2667-7
Soft Comput.
Keywords
Field
DocType
3D underwater sensor networks, Deployment, Optimization algorithm, Coverage rate, Fruit fly
Convergence (routing),Mathematical optimization,Software deployment,Underwater sensor networks,Computer science,Simulation,Real-time computing,Optimization algorithm,Underwater robot,Wireless sensor network,Underwater
Journal
Volume
Issue
ISSN
21
20
1432-7643
Citations 
PageRank 
References 
0
0.34
15
Authors
6
Name
Order
Citations
PageRank
Ying Zhang1203.90
Mingxing Wang200.34
Jixing Liang3172.14
Haiyang Zhang43912.99
Wei Chen57116.13
Shengming Jiang663162.04