TY - JOUR
T1 - Self-adaptive image codec for intelligent vision sensor networks
AU - Lin, Ming Yi
AU - Chen, Ching Han
AU - Chen, Shou Cheng
AU - Liu, Chao Tsu
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.
PY - 2022/8
Y1 - 2022/8
N2 - Wireless sensor networks (WSNs) play a crucial role in various multimedia services and applications. The main challenge in designing WSNs is coping with hardware resources constraints of vision sensors that involve limited energy, insufficient memory, limited computational capability, and low bandwidth in sensor nodes. In this manuscript, first, WSNs based on self-adaptive protocol was proposed. Next, an embedded processor with hardware resource constrained is applied to make a Joint Photographic Experts Group (JPEG) codec allowing a dynamic range compression ratio for the bandwidth adaptation design of wireless image transmission, which can be used in an un-reliable communication environment. Finally, the system prototype with proposed self-adaptive protocol solution can improve the reliability of real-time image transmission. Experimental results demonstrate our image codec that is more efficient than SPIHT algorithm (Ammah in Inform Med Unlocked 15:100183, 2019).
AB - Wireless sensor networks (WSNs) play a crucial role in various multimedia services and applications. The main challenge in designing WSNs is coping with hardware resources constraints of vision sensors that involve limited energy, insufficient memory, limited computational capability, and low bandwidth in sensor nodes. In this manuscript, first, WSNs based on self-adaptive protocol was proposed. Next, an embedded processor with hardware resource constrained is applied to make a Joint Photographic Experts Group (JPEG) codec allowing a dynamic range compression ratio for the bandwidth adaptation design of wireless image transmission, which can be used in an un-reliable communication environment. Finally, the system prototype with proposed self-adaptive protocol solution can improve the reliability of real-time image transmission. Experimental results demonstrate our image codec that is more efficient than SPIHT algorithm (Ammah in Inform Med Unlocked 15:100183, 2019).
KW - Hardware resource-constrained
KW - Intelligent vision sensor networks
KW - JPEG codec
KW - Self-adaptive protocol
UR - http://www.scopus.com/inward/record.url?scp=85131554775&partnerID=8YFLogxK
U2 - 10.1007/s41870-022-00979-w
DO - 10.1007/s41870-022-00979-w
M3 - 期刊論文
AN - SCOPUS:85131554775
SN - 2511-2104
VL - 14
SP - 2533
EP - 2540
JO - International Journal of Information Technology (Singapore)
JF - International Journal of Information Technology (Singapore)
IS - 5
ER -