TRiForm: Formation Control for Underwater Sensor Networks With Measurement Errors

Wu, Hejun; Yang, Zhongheng; Cao, Jiannong; Lai, Liqian

doi:10.1109/tvt.2020.2989363

Cited by 7 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The discussion of error prone channel has not been considered in SQMAC. In [14], Triangle Formation has been proposed to achieve reduction in measurement errors using rigid graph structure. Compensation error with distance coordinates and periodical synchronization provides appropriate.…”

Section: Related Workmentioning

confidence: 99%

Storage Capabilities in Underwater Wireless Sensor Networks for Energy Balancing and Channel Alignment

Sureshkumar¹,

Raj²,

Selvi³

et al. 2021

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bh

View full text Add to dashboard Cite

Underwater sensor node overflow occurs when large amount of sensory data is already stored and it is unavailable to obtain new data when an event happens. This misalignment tends to partitioning of individual node from networks in reporting information to sink. Resilience of individual node to recover from overflow considering channel and storage capabilities is needed. This work tries to avoid unnecessary transmission of the overloaded node. The contemporaneous work of storage and transmission is stated to improve energy efficiency in the desired work using DBR Bayesian network. Two slice Bayesian network is constructed for every node for calculating conditional probability distribution to resurrect links. Number of transmission is being improved considering the facilitation of nodes storage and transit duration reducing the overall energy consumption of a node by constraining unnecessary transmissions.

show abstract

Section: Related Workmentioning

confidence: 99%