A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments

State-of-the-art trajectory compression methods usually involve high space-time complexity or yield unsatisfactory compression rates, leading to rapid exhaustion of memory, computation, storage, and energy resources. Their ability is commonly limited when operating in a resource-constrained environm...

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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 28; číslo 11; s. 2827 - 2841
Hlavní autori:	Jiajun Liu, Kun Zhao, Sommer, Philipp, Shuo Shang, Kusy, Brano, Jae-Gil Lee, Jurdak, Raja
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	ageing Algorithm design and analysis Algorithms amnesic Complexity theory Compression algorithms constant complexity Hardware Online trajectory compression resource-constrained Runtime Trajectory Wildlife
ISSN:	1041-4347, 1558-2191
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