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A survey on sensor coverage and visual data capturing/processing/transmission in wireless visual sensor networks.

Yap FG, Yen HH - Sensors (Basel) (2014)

Bottom Line: As compared to the traditional wireless sensor networks (WSNs) that can only transmit scalar information (e.g., temperature), the visual data in WVSNs enable much wider applications, such as visual security surveillance and visual wildlife monitoring.However, as compared to the scalar data in WSNs, visual data is much bigger and more complicated so intelligent schemes are required to capture/process/ transmit visual data in limited resources (hardware capability and bandwidth) WVSNs.We conclude that WVSN research is still in an early age and there are still many open issues that have not been fully addressed.

View Article: PubMed Central - PubMed

Affiliation: English Division, Center for General Education, Chang Gung University, Taoyuan, 333, Taiwan. ghyap@mail.cgu.edu.tw.

ABSTRACT
Wireless Visual Sensor Networks (WVSNs) where camera-equipped sensor nodes can capture, process and transmit image/video information have become an important new research area. As compared to the traditional wireless sensor networks (WSNs) that can only transmit scalar information (e.g., temperature), the visual data in WVSNs enable much wider applications, such as visual security surveillance and visual wildlife monitoring. However, as compared to the scalar data in WSNs, visual data is much bigger and more complicated so intelligent schemes are required to capture/process/ transmit visual data in limited resources (hardware capability and bandwidth) WVSNs. WVSNs introduce new multi-disciplinary research opportunities of topics that include visual sensor hardware, image and multimedia capture and processing, wireless communication and networking. In this paper, we survey existing research efforts on the visual sensor hardware, visual sensor coverage/deployment, and visual data capture/ processing/transmission issues in WVSNs. We conclude that WVSN research is still in an early age and there are still many open issues that have not been fully addressed. More new novel multi-disciplinary, cross-layered, distributed and collaborative solutions should be devised to tackle these challenging issues in WVSNs.

No MeSH data available.


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Wireless sensor networks vs. Wireless Visual Sensor Networks.
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f1-sensors-14-03506: Wireless sensor networks vs. Wireless Visual Sensor Networks.

Mentions: Field of View coverage requirement for data source nodes: In traditional WSNs, when an event occurs, the nodes within the sensing range of the event will sense the event and become data source nodes to transmit the sensed data back to the sink. However, in WVSNs, besides the sensing range, another more important criterion, Field of View (FoV), should be considered. The FoV comes from the fact that the camera captures visual data of the event from a certain direction or angle. In other words, besides the sensing range coverage, the FoV of the sensor nodes should also cover the event so as to capture the visual data of event. In Figure 1, we illustrate an example to illustrate the idea of FoV. In Figure 1a, the event is inside the sensing range of the sensor nodes (i.e., nodes A, B, C, D, E) so they can sense the event and then transmit the sensed data back to the sink in the WSN. In Figure 1b, we can see that due to the angle of the camera on the sensors, not every sensor node inside the sensing range can capture the event. In Figure 1b, nodes A, B and C are the only data source nodes that can capture the visual data. In other words, even though nodes D and E are within the sensing range, the FoV of the cameras do not cover the event so that nodes D and E are not data source nodes [2].


A survey on sensor coverage and visual data capturing/processing/transmission in wireless visual sensor networks.

Yap FG, Yen HH - Sensors (Basel) (2014)

Wireless sensor networks vs. Wireless Visual Sensor Networks.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3958220&req=5

f1-sensors-14-03506: Wireless sensor networks vs. Wireless Visual Sensor Networks.
Mentions: Field of View coverage requirement for data source nodes: In traditional WSNs, when an event occurs, the nodes within the sensing range of the event will sense the event and become data source nodes to transmit the sensed data back to the sink. However, in WVSNs, besides the sensing range, another more important criterion, Field of View (FoV), should be considered. The FoV comes from the fact that the camera captures visual data of the event from a certain direction or angle. In other words, besides the sensing range coverage, the FoV of the sensor nodes should also cover the event so as to capture the visual data of event. In Figure 1, we illustrate an example to illustrate the idea of FoV. In Figure 1a, the event is inside the sensing range of the sensor nodes (i.e., nodes A, B, C, D, E) so they can sense the event and then transmit the sensed data back to the sink in the WSN. In Figure 1b, we can see that due to the angle of the camera on the sensors, not every sensor node inside the sensing range can capture the event. In Figure 1b, nodes A, B and C are the only data source nodes that can capture the visual data. In other words, even though nodes D and E are within the sensing range, the FoV of the cameras do not cover the event so that nodes D and E are not data source nodes [2].

Bottom Line: As compared to the traditional wireless sensor networks (WSNs) that can only transmit scalar information (e.g., temperature), the visual data in WVSNs enable much wider applications, such as visual security surveillance and visual wildlife monitoring.However, as compared to the scalar data in WSNs, visual data is much bigger and more complicated so intelligent schemes are required to capture/process/ transmit visual data in limited resources (hardware capability and bandwidth) WVSNs.We conclude that WVSN research is still in an early age and there are still many open issues that have not been fully addressed.

View Article: PubMed Central - PubMed

Affiliation: English Division, Center for General Education, Chang Gung University, Taoyuan, 333, Taiwan. ghyap@mail.cgu.edu.tw.

ABSTRACT
Wireless Visual Sensor Networks (WVSNs) where camera-equipped sensor nodes can capture, process and transmit image/video information have become an important new research area. As compared to the traditional wireless sensor networks (WSNs) that can only transmit scalar information (e.g., temperature), the visual data in WVSNs enable much wider applications, such as visual security surveillance and visual wildlife monitoring. However, as compared to the scalar data in WSNs, visual data is much bigger and more complicated so intelligent schemes are required to capture/process/ transmit visual data in limited resources (hardware capability and bandwidth) WVSNs. WVSNs introduce new multi-disciplinary research opportunities of topics that include visual sensor hardware, image and multimedia capture and processing, wireless communication and networking. In this paper, we survey existing research efforts on the visual sensor hardware, visual sensor coverage/deployment, and visual data capture/ processing/transmission issues in WVSNs. We conclude that WVSN research is still in an early age and there are still many open issues that have not been fully addressed. More new novel multi-disciplinary, cross-layered, distributed and collaborative solutions should be devised to tackle these challenging issues in WVSNs.

No MeSH data available.


Related in: MedlinePlus