Energy-efficient data gathering in randomly deployed and asynchronized sensor networks employing probabilistic duty cycling and compressive sensing
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.
Significantlyreduces energy consumptionComplicated sleep scheduling and synchronization techniques are not required
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
None
美国
