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. and 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. , and 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
S. Hakimi and G. A. Hodtani, "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