Localization and sensor placement




Yalamanchili, Sireesha

Journal Title

Journal ISSN

Volume Title



An optimization of sensor locations and a sensitivity analysis based on the minimization of interferences due to wireless communications between sensors is studied in the presence of additive white Gaussian noise (AWGN). A Gram matrix approach is used for robust determination of sensor locations by minimizing the interferences (maximizing the signal strength) among sensors. In order to solve the problem of optimum placement, an iterative algorithm for maximizing the determinant of the Gram matrix is proposed and implemented. The sensitivity criterion proposed in the dissertation is the spectral number of the Frobenius norm of the Gram matrix associated with sensor readings. The necessary conditions under which the number of sensors and the optimal sensor locations remain unchanged when the data measured for sensitivity analysis affected by AWGN is derived. The theoretical results are verified by simulations providing details concerning numerical implementations. The approach is applicable for engine health monitoring systems.

Sensors placement algorithms and models are further studied for indoor positioning systems exploiting wireless local area networks (WLAN). Different placement algorithms for optimum placement of the access points in an indoor positioning system are analyzed based on probability of correct location estimation, geometric dilution of precision and information gain.

An integrity monitoring technique to account for unstable signal characteristics, which are often observed in WLAN networks, is studied. The integrity monitoring algorithm identifies the faulty access point and removes it from the database.


This item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.


Localization, Sensors, Wifi



Electrical and Computer Engineering