Cyclops: in situ image sensing and interpretation in wireless sensor networks
By Mohammad H. Rahimi, Rick Baer, Obimdinachi I. Iroezi, Juan C. García, J. Warrior, Deborah Estrin, Mani B. Srivastava. ACM International Conference on Embedded Networked Sensor Systems, 2005
583 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a9fb34056a85cddec5f3a4f15b99f8062f05a8a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- R. Rajkumar
- Ian F. Akyildiz
- Mani B. Srivastava
- Ramesh Govindan
- Konstantinos Psounis
- Arun Agrahara Somasundara
In Computer Networks and Communications
- Ian F. Akyildiz
- Deborah Estrin
- Wendi Rabiner Heinzelman
- Ramesh Govindan
- Mani B. Srivastava
- Tommaso Melodia
- Kaushik R. Chowdhury
- Stanislava Soro
In Electrical and Electronic Engineering
- Ian F. Akyildiz
- Wendi Rabiner Heinzelman
- Stanislava Soro
- Tommaso Melodia
- Deborah Estrin
- Kaushik R. Chowdhury
- Ramesh Govindan
- Mani B. Srivastava
Citations in the corpus
- A survey on wireless multimedia sensor networks (2007, methodology): “Cyclops is an electronic interface between a CMOS camera module and a wireless mote such as MICA2 or MICAz, and contains programmable logic and memory for high-speed data communication.”
- MeshEye: A Hybrid-Resolution Smart Camera Mote for Applications in Distributed Intelligent Surveillance (2007, methodology): “[4] suggested another powerful image sensor mote, which combines Agilent Technologies’ Cyclops with Crossbow’s Mica2 mote.”
- Wireless Multimedia Sensor Networks: Applications and Testbeds (2008, methodology): “The second tier is made up of motes equipped with low-fidelity Cyclops [ 21 ] or CMUcam [33] camera sensors.”
- FireFly Mosaic: A Vision-Enabled Wireless Sensor Networking System (2007, methodology): “The UCLA Cyclops [7] camera uses an 8-bit microprocessor and an FPGA to capture and process images.”
- SensEye: a multi-tier camera sensor network (2005, methodology): “As reported in [18], the Cyclops with Mote consumes 1 mW in its sleep state whereas an optimized Stargate consumes 15 mW in suspend mode.”
- Interference-aware fair rate control in wireless sensor networks (2006, background): “More recently, tiered sensor networks [28] have been proposed for use in high data-rate applications ( e.g., acoustic [2, 8], imaging [23]).”
- Mobile Element Scheduling with Dynamic Deadlines (2007, background): “Another example is the Cyclops-based [20] sensor network, where the nodes have a smart vision sensor.”
- A survey of visual sensor network platforms (2012, methodology): “In sensor network applications, vision can only play a meaningful role if the power consumption of the nodes is not significantly increased [40].”
- Wireless sensor network survey (2008, background): “Cyclops contains programmable logic and memory circuits with high speed data transfer.”
- The Tenet architecture for tiered sensor networks (2006, methodology): “This application uses image-sensors (Cyclops cameras [Rahimi et al. 2005]) and leverages the Cyclops’ on-board processing capabilities.”
- TOPICS IN AD HOC AND SENSOR NETWORKS (2007, unknown): “…is the back-casting approach described in [16], whereby an improvement N 1/4 in energy consumption for a given fidelity obtained in a field of N sensor nodes if an initial estimate of the physical phenomenon obtained from a subset of the nodes is used to then activate additional nodes in…”
- A Survey of Visual Sensor Networks (2009, methodology): “Energy consumption has been analyzed on camera node prototypes built using a wide range of imagers, starting from very low-power, low-resolution camera nodes [57, 58], to web cameras [59, 60] to advanced, high-resolution cameras.”