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Evaluation of Uncertainty of Phase Difference Determination in Presence of Bias

Saranovac L. V., Vučijak N. M.

Metrology and Measurement Systems

2016

Vol. 23, nr 4

603--614

Determination of the phase difference between two sinusoidal signals with noise components using samples of these signals is of interest in many measurement systems. The samples of signals are processed by one of many algorithms, such as 7PSF, UQDE and MSAL, to determine the phase difference. The phase difference result must be accompanied with estimation of the measurement uncertainty. The following issues are covered in this paper: the MSAL algorithm background, the ways of treating the bias influence on the phase difference result, comparison of results obtained by applying MSAL and the other mentioned algorithms to the same real signal samples, and evaluation of the uncertainty of the phase difference.

MGRASP and MSAL Algorithms for Centralized Traffic Management of Large Wireless Sensor Networks

Czajko M.M., Wojciechowski J.

Prace Naukowe Politechniki Warszawskiej. Elektronika

2009

z. 169

43-50

This paper concerns a hop and degree constrained minimum spanning forest problem with the minimization of the number of trees (HDMSFMT). HDMSFMT arises during the calculation of the shortest paths in large wireless sensor networks (LWSNs) with centralized traffic management. This is a bi-criteria optimization problem, which is shown in this paper to be NP-hard. We formulate the HDMSFMT problem using formal mathematical notations. Two efficient heuristic algorithms for HDMSFMT are proposed and compared, namely Multi-objective Simulated Allocation (MSAL) and Multi-objective Greedy Randomized Adaptive Search Procedure (MGRASP). Numerical examples show that it is possible to achieve a set of feasible and satisfactory results for a wide range of graphs' types.