From: LOGO: an efficient local and global data collection mechanism for remote underwater monitoring
Reference | Year | Technique | Features | Architecture | Objective |
---|---|---|---|---|---|
[19] | 2013 | Data transmission | Distance functions | Clustering | Data reduction |
[18] | 2014 | S-LEC | Compression | Distributed | Data reduction |
[23] | 2015 | SFDC | Distance and similarity functions | Clustering | Data reduction |
[17] | 2015 | Data transmission | Aggregation, Kmeans ANOVA | Clustering | Energy conservation, information integrity |
[6] | 2019 | ACUN | Routing set | Clustering | Increase network lifetime |
[7] | 2019 | Fuzzy clustering, PSO | CH selection | Clustering | Increase network lifetime |
[8] | 2019 | DVOR | Query mechanism | Distributed routing | Reduce data communication |
[13] | 2019 | PDO-DC | KRR, path planning | AUV-based | Reduce collection delay, avoid packet loss |
[14] | 2019 | Data collection | VoI, path planning | Subregions | Determining best AUV path |
[12] | 2020 | FCMMFO | FCM, MFO | Clustering | Increase network lifetime |
[16] | 2020 | UAV-OMN | Optimization | AUV-based | Increase network lifetime |
This work | 2021 | LOGO | Data similarity, sensing adaptation, node correlation | AUV + Clustering | Data reduction, energy conservation, information integrity |