Energy-efficient data gathering in randomly deployed and asynchronized sensor networks employing probabilistic duty cycling and compressive sensing
- Summary
- Anenergy-efficient data aggregation scheme for Wireless Sensors Networks has beendeveloped. The technology targets the two main issues of WSN- data compressionand sleep scheduling. The scheme is based on the integration of compressive sensingand probabilistic sleeping of nodes which makes the overall system energyefficient.
- Technology Benefits
- Significantlyreduces energy consumptionComplicated sleep scheduling and synchronization techniques are not required
- Technology Application
- WSN,with this development, can be very efficient for the following applicationswhere large number of sensors have to be deployed to arrive at a unanimous conclusion.To mention few of the potential areas of applications:AgricultureMilitaryEnvironmentmonitoringSuspiciousactivity detectionLivestock
- Detailed Technology Description
- None
- *Abstract
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None
- *Background
- Wireless SensorsNetwork (WSN) is a network that consists of spatially distributed autonomoussensors that monitor environmental conditions, such as temperature, humidity,vibrations, sound, pressure, etc. Prominent applications of WSNs are:Environmental monitoring, seismic detection, acoustic detection, militarysurveillance, inventory tracking and medical monitoring, etc. Each sensorbelonging to the network, also known as node, monitors the conditions and relaysthis information to the main node. The network may consist of hundreds tothousands of such sensors that are energized by external power source orindependent batteries embedded on each sensor. Therefore, substantial amount ofpower is used in the operation of a WSN.
- *Stage of Development
- Theinvention is in the Proof of Concept stage.
- Country/Region
- USA
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