1
, Ph.D. Student, Ferdowsi University of Mashhad, Mashhad
2
, Associate Professor, Ferdowsi University of Mashhad
Abstract
The problem of power allocation for distributed detection in a power constrained wireless sensor network is considered. The sensors are assumed to have independent observations and send their local decisions to a fusion center over multiple access channels. The Jensen-Shannon divergence between the distributions of the detection statistic under different hypotheses is used as a performance criterion. It is demonstrated that by applying the proposed measure power allocation is more efficient comparing to other criteria like mean square error or Jeffry divergence.
Hakimi, S. & A. Hodtani, G. (2013). Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence. The Modares Journal of Electrical Engineering, 13(2), 11–19.
MLA
Hakimi, S., & A. Hodtani, G. "Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence", The Modares Journal of Electrical Engineering, 13, 2, 2013, 11–19.
HARVARD
Hakimi, S., & A. Hodtani, G. (2013). 'Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence', The Modares Journal of Electrical Engineering, 13(2), pp. 11–19.
CHICAGO
Hakimi, S. & A. Hodtani, G., "Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence." The Modares Journal of Electrical Engineering, 13 2 (2013): 11–19,
VANCOUVER
Hakimi S., A. Hodtani G. Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence. The Modares Journal of Electrical Engineering. 2013;13(2):11–19.
The Modares Journal of Electrical Engineering