A distributed algorithm for maximizing utility of data collection in a crowd sensing system.
Qinghua ChenZhengqiu WengYang HanYanmin ZhuPublished in: Int. J. Distributed Sens. Networks (2016)
Keyphrases
- data collection
- cost function
- learning algorithm
- computational cost
- times faster
- detection algorithm
- significant improvement
- cooperative
- dynamic programming
- segmentation algorithm
- high accuracy
- experimental evaluation
- theoretical analysis
- optimal solution
- worst case
- optimization algorithm
- computationally efficient
- clustering method
- recognition algorithm
- distributed systems
- np hard
- k means
- image sequences
- input data
- particle swarm optimization
- real time
- probabilistic model
- preprocessing
- computational complexity
- objective function
- classification algorithm
- matching algorithm
- memory requirements
- genetic algorithm