Title :
Collision-aware distributed estimation in WSNs using sensor-censoring random access
Author :
Seksan Laitrakun;Edward J. Coyle
Author_Institution :
School of Information Technology, Mae Fah Luang University, Thailand
Abstract :
We consider a single-hop, wireless sensor network (WSN) performing distributed estimation where the fusion center (FC) will collect local binary estimates within a limited collection time over a single transmission channel. We propose a transmission protocol called sensor-censoring random access (SCRA), in which the collection time is divided into frames and only local binary estimates of the observations in a specific range will be sent in a specific frame by using slotted ALOHA. Since we study a WSN with a single transmission channel, during the collection time, the FC will observe idle time slots, successful time slots, and collision time slots. As a result, we derive a collision-aware maximum likelihood estimator and collision-aware type-based estimators at the FC such that the global estimate is computed from not only the successfully received estimates but also idle time slots and collision time slots. The Cramer-Rao lower bound and mean square error of these estimators are evaluated.
Keywords :
"Maximum likelihood estimation","Channel estimation","Wireless sensor networks","Protocols","Noise measurement","Probability density function"
Conference_Titel :
Military Communications Conference, MILCOM 2015 - 2015 IEEE
DOI :
10.1109/MILCOM.2015.7357582