2 citations · 4 across the 12 of their papers we have counts for
14 papers · 1 filter
On Distributed Detection in EH-WSNs With Finite-State Markov Channel and Limited Feedback
Ghazaleh Ardeshiri, Azadeh Vosoughi
We consider a network, tasked with solving binary distributed detection, consisting of N sensors, a fusion center (FC), and a feedback channel from the FC to sensors. Each sensor i…
On Adaptive Transmission for Distributed Detection in Energy Harvesting Wireless Sensor Networks with Limited Fusion Center Feedback
Ghazaleh Ardeshiri, Azadeh Vosoughi
We consider a wireless sensor network, consisting of N heterogeneous sensors and a fusion center (FC), tasked with solving a binary distributed detection problem. Sensors communica…
Adaptive Transmission for Distributed Detection in Energy Harvesting Wireless Sensor Networks
Ghazaleh Ardeshiri, Azadeh Vosoughi
We consider a wireless sensor network, consisting of N heterogeneous sensors and a fusion center (FC), tasked with detecting a known signal in uncorrelated Gaussian noises. Each se…
Achievable Rates of Opportunistic Cognitive Radio Systems Using Reconfigurable Antennas with Imperfect Sensing and Channel Estimation
Hassan Yazdani, Azadeh Vosoughi, Xun Gong
We consider an opportunistic cognitive radio (CR) system in which secondary transmitter (SUtx) is equipped with a reconfigurable antenna (RA). Utilizing the beam steering capabilit…
Power Adaptation for Distributed Detection in Energy Harvesting WSNs with Finite-Capacity Battery
Ghazaleh Ardeshiri, Hassan Yazdani, Azadeh Vosoughi
We consider a wireless sensor network, consisting of N heterogeneous sensors and a fusion center (FC), that is tasked with solving a binary distributed detection problem. Each sens…
On Bandwidth Constrained Distributed Detection of a Deterministic Signal in Correlated Noise
Nahal Maleki, Azadeh Vosoughi
We consider a Neyman-Pearson (NP) distributed binary detection problem in a bandwidth constrained wireless sensor network, where the fusion center (FC) is responsible for fusing si…