TY - GEN
T1 - Performance analysis of wireless video sensors in video surveillance
AU - He, Zhihai
AU - Wu, Dapeng
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2005
Y1 - 2005
N2 - Wireless video sensor networks (WVSN) have been envisioned for a wide range of important applications, including battlefield intelligence, security monitoring, and environmental tracking. Compared to traditional communication systems, the WVSN operates under a set of unique resource constraints, including limitations with respect to energy supply, on-board computational capability, and transmission bandwidth. The objective of this work is to study the resource utilization behavior of a wireless video sensor and analyze its performance under these resource constraints. More specifically, we develop an analytic power-rate-distortion (P-R-D) model to characterize the inherent relationship between the power consumption of a video encoder and its rate-distortion performance. Based on the P-R-D analysis and a simplified model for wireless transmission power, we study the optimum power allocation between video encoding and wireless transmission. We consider an important scenario in wireless video sensing - wireless video surveillance, and analyze the performance limit of the wireless video sensor. The analysis and results obtained in this paper provide an important guideline for practical wireless video sensor design.
AB - Wireless video sensor networks (WVSN) have been envisioned for a wide range of important applications, including battlefield intelligence, security monitoring, and environmental tracking. Compared to traditional communication systems, the WVSN operates under a set of unique resource constraints, including limitations with respect to energy supply, on-board computational capability, and transmission bandwidth. The objective of this work is to study the resource utilization behavior of a wireless video sensor and analyze its performance under these resource constraints. More specifically, we develop an analytic power-rate-distortion (P-R-D) model to characterize the inherent relationship between the power consumption of a video encoder and its rate-distortion performance. Based on the P-R-D analysis and a simplified model for wireless transmission power, we study the optimum power allocation between video encoding and wireless transmission. We consider an important scenario in wireless video sensing - wireless video surveillance, and analyze the performance limit of the wireless video sensor. The analysis and results obtained in this paper provide an important guideline for practical wireless video sensor design.
UR - https://www.scopus.com/pages/publications/33846593940
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33846593940&origin=recordpage
U2 - 10.1109/GLOCOM.2005.1577376
DO - 10.1109/GLOCOM.2005.1577376
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780394143
SN - 9780780394148
VL - 1
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 178
EP - 182
BT - GLOBECOM'05: IEEE Global Telecommunications Conference, 2005
T2 - GLOBECOM'05: IEEE Global Telecommunications Conference, 2005
Y2 - 28 November 2005 through 2 December 2005
ER -