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

• Published in: IEEE transactions on knowledge and data engineering Vol. 28; no. 11; pp. 2827 - 2841
• Main Authors: Jiajun Liu, Kun Zhao, Sommer, Philipp, Shuo Shang, Kusy, Brano, Jae-Gil Lee, Jurdak, Raja
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: ageing; Algorithm design and analysis; Algorithms; amnesic; Complexity theory; Compression algorithms; constant complexity; Hardware; Online trajectory compression; resource-constrained; Runtime; Trajectory; Wildlife

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...