TY - GEN
T1 - A decentralized framework for linear coherent estimation with spatial collaboration
AU - Kar, Swarnendu
AU - Varshney, Pramod K.
PY - 2014
Y1 - 2014
N2 - We study an estimation problem where a fusion center estimates a random parameter by using a partially connected network of sensor nodes. The process involves two stages. In the collaboration stage, the sensor nodes share their observations with their neighbors. In the estimation stage, all the sensor nodes form a coherent beam to the fusion center using the analog amplify-and-forward procedure. In our previous work on this topic [1], a control center determines the optimum collaboration strategy that is sent to the sensor nodes prior to starting the two-stage procedure. In this paper, we develop a new framework where the collaboration strategies are computed in a decentralized manner using minimal communication with the control center. This makes the sensor network more energy efficient and reduces control channel communication requirements.
AB - We study an estimation problem where a fusion center estimates a random parameter by using a partially connected network of sensor nodes. The process involves two stages. In the collaboration stage, the sensor nodes share their observations with their neighbors. In the estimation stage, all the sensor nodes form a coherent beam to the fusion center using the analog amplify-and-forward procedure. In our previous work on this topic [1], a control center determines the optimum collaboration strategy that is sent to the sensor nodes prior to starting the two-stage procedure. In this paper, we develop a new framework where the collaboration strategies are computed in a decentralized manner using minimal communication with the control center. This makes the sensor network more energy efficient and reduces control channel communication requirements.
UR - http://www.scopus.com/inward/record.url?scp=84905252074&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905252074&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6854858
DO - 10.1109/ICASSP.2014.6854858
M3 - Conference contribution
AN - SCOPUS:84905252074
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 6509
EP - 6513
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -