A new lossy compression algorithm for wireless sensor networks using Bayesian predictive coding

Wireless sensor networks (WSNs) generate a variety of continuous data streams. To reduce data storage and transmission cost, compression is recommended to be applied to the data streams from every single sensor node. Local compression falls into two categories: lossless and lossy. Lossy compression...

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Vydáno v:	Wireless networks Ročník 26; číslo 8; s. 5981 - 5995
Hlavní autoři:	Chen, Chen, Zhang, Limao, Tiong, Robert Lee Kong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.11.2020 Springer Nature B.V
Témata:	Accuracy Algorithms Bayesian analysis Coding Communications Engineering Compression ratio Computer Communication Networks Computing costs Data compression Data storage Data transmission Digital media Electrical Engineering Engineering IT in Business Missing data Networks Predictions Regression models Sensors Statistical analysis Statistical inference Wireless networks Wireless sensor networks Lossy compression Predictive coding Wireless sensor networks Bayesian inference
ISSN:	1022-0038, 1572-8196
On-line přístup:	Získat plný text
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