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This paper addresses the problem of obtaining an efficient estimator for sensor node self-localization using time of arrival (TOA) measurements. A sequential scheme is proposed that consists of closed-form single node localization and sensor position refinement algorithms as primitive. The sequential scheme is able to locate sensor nodes with accuracy approaching the CRLB and it can be realized in...
This paper addresses the problem of improving the receiver positions in a sensor array using the positioning measurements of targets at unknown locations. Using an efficient estimate of the target locations, a computationally efficient estimator is proposed to refine the sensor positions using the same set of measurements from the targets. The considered measurements include TOA and TDOA. The proposed...
With the proliferation of location dependent applications in sensor networks, localization awareness becomes an essential capability of sensor nodes. Many localization algorithms have been proposed in recent years, in which DV-Hop is the most popular one. Intrinsically, localization is an optimization problem based on various distance/path measures. GA and SA are both widely used approaches toward...
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