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Outlook 11 Reads Intelligent article-tracking with sensor network Conference paper March 2007 sensor Applications Symposium 2007. SAS 07. IEEE Emelie-Asad M. The realm of programs designed for sensor networks are different including military aviation industrial commercial environmental and health monitoring. The purpose of the learning algorithm is to connect the sensors dormant behavior to the natural statistics of the environment because it can be in optimum harmony with changes in the environment sensors can sleep when smooth environment and stay awake when turbulent environment. Finally a system simulation framework including a base robot a swarm robot and two sensors are presented in addition to an experimental evaluation of the proposed SoS architecture. The overall effectiveness of the sensor network depends on how well the mutual opposing targets are to preserve the limited battery of the card and keep the sensors awake for stimuli handled. View 11 Reads Intelligent Object-Tracking using Sensor Networks Conference Paper Mar 2007 Sensors Applications Symposium 2007. SAS 07. IEEE Prasanna Sridhar Asad M.The realm of applications envisioned for sensor networks is diverse including military aerospace industrial commercial environmental and health monitoring.The purpose of the learning algorithm is to couple the sensors sleeping behavior to the natural statistics of the environment hence that it can be in optimal harmony with changes in the environment the sensors can sleep when steady environment and stay awake when turbulent environment.Finally a system of systems simulation framework including a base robot a swarm robot and two sensors is presented in addition to an experimental evaluation of the proposed SoS architecture.The overall effectiveness of the sensor network depends on how well the mutually contradicting objectives of conserving the limited on-board battery power and keeping the sensors awake for stimuli are managed.
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