Channel aware decision fusion in wireless sensor networks

By Biao Chen, R. Jiang, T. Kasetkasem, Pramod K. Varshney. IEEE Transactions on Signal Processing, 2004

431 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks (2006, methodology): “Toward this end, a channel layer must be incorporated into our model to allow for the development of channel aware decision fusion rules that have proved to be more energy efficient [17].”
Social learning and distributed hypothesis testing (2014, background): “roup nodes at a fusion center where the communication links (between the nodes and fusion center) are either rate limited [4]– [12] or subject to channel imperfections such as fading and packet drops [13]–[15]. Our work belongs to the second set, which models the communication network as a directed ”
Maximum Likelihood Decision Fusion for Weapon Classification in Wireless Acoustic Sensor Networks (2017, background): “In this work, we are not considering the non-idealities of real wireless networks, however it is important to highlight that there are some problems regarding the transmission of node decisions, such as the presence of fading channels [24], faulty sensors [25] or transmission errors [26].”