شماره ركورد كنفرانس :
173
عنوان مقاله :
A new sensor scheduling method for distributed sensor network
عنوان به زبان ديگر :
A new sensor scheduling method for distributed sensor network
پديدآورندگان :
Safarinejadian Behrooz نويسنده , Rahimi abdolah نويسنده , Mozaffari Mohiyeddin نويسنده
كليدواژه :
sub–optimal , Offline optimization , Error covariance , ALGORITHM , Sensor scheduling
عنوان كنفرانس :
بيست و يكمين كنفرانس مهندسي برق ايران
چكيده فارسي :
In this paper, a sensor network is used to estimate the dynamic state of a system. At each time step, only one of the sensors is available. This means that at each time step only onesensor can send its measured data to a central node, in which all of processing is done. We want to provide an optimalalgorithm for scheduling of sensor selection at every time step. Our goal is to select the appropriate sensor to reduce computations, optimize the energy consumption and enhance the network lifetime. To achieve this goal, we must reduce the error covariance. Two tree algorithms are used in this work:sliding window algorithm (motivated by the Viterbi algorithm) and thresholding algorithm. Moreover we study a techniquethat employs choosing the sensors randomly from a probability distribution which can be optimized. Finally we will offer a new algorithm based on circular selection. Performance of the proposed algorithms is illustrated with numerical examples
چكيده لاتين :
In this paper, a sensor network is used to estimate the dynamic state of a system. At each time step, only one of the sensors is available. This means that at each time step only onesensor can send its measured data to a central node, in which all of processing is done. We want to provide an optimalalgorithm for scheduling of sensor selection at every time step. Our goal is to select the appropriate sensor to reduce computations, optimize the energy consumption and enhance the network lifetime. To achieve this goal, we must reduce the error covariance. Two tree algorithms are used in this work:sliding window algorithm (motivated by the Viterbi algorithm) and thresholding algorithm. Moreover we study a techniquethat employs choosing the sensors randomly from a probability distribution which can be optimized. Finally we will offer a new algorithm based on circular selection. Performance of the proposed algorithms is illustrated with numerical examples
شماره مدرك كنفرانس :
4474702
