Advances, Systems and Applications
Table 1 Comparison of data collection methods
From: Dynamic data collection algorithm based on mobile edge computing in underwater internet of things
Data collection methods | Algorithms | Research contributions | Shortcomings |
|---|---|---|---|
Multi-hop data collection | DBR [19] | Reducing energy consumption and collision | Energy imbalance |
| Â | EECOR [20] | Alleviating packet collisions | Energy imbalance |
| Â | RMER [21] | Reducing energy consumption | Multipath interference |
| Â | EELA [22] | Improving positioning accuracy | Energy imbalance |
AUV-aided data collection | Collecting data effectively | Large delay | |
| Â | EEDA [24] | Balancing energy consumption | Suitable for dense networks |
| Â | PPM-LUWSN [25] | Shortening the mobile path while ensuring data collection | Suitable for 2D space |
| Â | SDCS [26] | Reducing energy consumption and balancing the energy consumption | Some edge nodes may lose packets due to movement |