|
| Ref. | CDG scheme | Combined techniques | Main contribution | Year |
|
| [36–38] | Sparse CDG and hybrid CDG | Mobile collectors and mobile sink | Mobile collectors and mobile sink can save nodes’ energy consumption of transmission | 2017-2020 |
| [39, 40] | Sparse CDG and hybrid CDG | UAV | Take UAV as a mobile data collector which has better flexibility to traverse the whole coverage area of WSN | 2019-2021 |
| [41] | Sparse CDG | DDS and mobile sink | DDS is introduced to enable reliable data gathering by employing redundancy | 2018 |
| [42–44] | Sparsest CDG and sparse CDG | Energy harvesting and sleep scheduling | Putting those nodes that do not take part in CS measurement into status of energy harvesting or sleep scheduling will prolong lifetime of WSN | 2019-2020 |
| [45] | Plain CDG | Grey Wolf optimization (GWO) | A metaheuristic algorithm GWO is used to search the optimal backbone tree connecting CHs to the sink and the optimal sensing matrix | 2020 |
| [46] | Sparse CDG | Bees algorithm and genetic algorithm (GA) | Incorporate Bees algorithm with genetic algorithm to search the optimal CS reconstructed data | 2021 |
| [47] | Sparse CDG | Multiple objective GA | Use multiple objective GA to calculate the optimal number of CS measurements and transmission range and sensing matrix | 2021 |
| [48, 49] | Sparse CDG | Dictionary learning, training algorithms | Use dictionary learning and training algorithms to get the optimal sparse basis | 2020 |
| [50] | Sparse CDG | Seed estimation algorithm | Estimate an adaptive seed used to generate the best random measurement matrix with minimal reconstruction error | 2020 |
| [51] | Sparse CDG | Reinforcement leaning (RL) | Use FRS-RL algorithm to select data aggregator nodes | 2020 |
| [52–55] | Sparse CDG | Deep learning (DL) and multiagent RL | Train deep neural networks to obtain a learned measurement matrix, reconstruction data with high accuracy, and the optimal compression ratio | 2019-2021 |
| [56–58] | Sparse CDG | DL | Use DL to extract information from compressed data and analyze compressed signal | 2017-2021 |
| [59, 60] | Sparse CDG | Edge computing | Edge computing helps with data secure algorithms and learning algorithms in CDG | 2020-2021 |
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