Title
Data fusion based coverage optimization in heterogeneous sensor networks: A survey
Abstract
•We have comprehensively classified the current coverage optimization problem.•We have summarized the existing data fusion based coverage models.•We have surveyed data fusion based coverage optimization solutions.•We have sketched a general research framework based on the reinforcement learning.
Year
DOI
Venue
2019
10.1016/j.inffus.2018.11.020
Information Fusion
Keywords
Field
DocType
Data fusion,Coverage optimization,Heterogeneous sensor networks,Survey,Reinforcement learning
Automatic summarization,Exploit,Sensor fusion,Artificial intelligence,Wireless sensor network,Conceptual framework,Optimization problem,Machine learning,Mathematics,Sketch,Reinforcement learning
Journal
Volume
ISSN
Citations 
52
1566-2535
6
PageRank 
References 
Authors
0.40
6
6
Name
Order
Citations
PageRank
Xianjun Deng112715.27
Yalan Jiang2111.14
Laurence T. Yang36870682.61
Man Lin4907.79
Lingzhi Yi5393.97
Minghua Wang66415.40