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Abstract

Wireless Video Sensor Networks (WVSNs) are networks of low-cost, low-power camera sensor nodes. These nodes communicate locally and process information to meet an application's goal. WVSNs are extensively used in diverse monitoring applications, such as security, military, industrial, medical, and environmental monitoring. However, the transmission of large amounts of data collected by video sensor nodes in WVSNs poses challenges in terms of energy consumption, bandwidth usage, and network congestion. Reducing energy for processing and transmitting data in WVSNs is difficult due to the huge amount of sensed data in real-time. To address this issue, this paper proposes an Online Data Transmission Reduction Scheme (ODaTReS) for energy conservation in WVSNs. The data reduction by the ODaTReS is based on two phases: the sensing phase and the transmission phase. ODaTReS adapts the frame rate to limit the number of video frames captured during the sensing phase. It does this by using three efficient techniques: ORB (Oriented FAST and Rotated BRIEF), Brute-Force (BF) Matcher, and Grid-based Motion Statistics (GMS). During the transmission phase, we use an adaptive transmission threshold that is responsible for deciding whether to transmit the current captured frame or remove it. Several experiments are conducted to demonstrate the effectiveness of the ODaTReS. The proposed ODaTReS outperforms the FRABID method in terms of data reduction and energy consumption. The results reveal that ODaTReS reduced the transmitted data by 80%, compared to 43% for the FRABID method. This reduction in data transmission contributes to a decrease in the total energy consumed, which is reduced to 141.22 joules compared to the FRABID method, which consumes 173.16 joules of energy.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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