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A master's thesis from Aalborg University
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Network and Location-Aware Service Selection: Reliability Assessment of Location Estimation

Author

Term

4. term

Publication year

2014

Submitted on

Pages

73

Abstract

This work contains a study to assess the impact of network-related parameters to the reliability of a user’s localisation when the user’s location can potentially change. User parameters such as speed and network parameters such as network delay, noise, localisation interface, etc. are tested in regard to the impact they have on the performance of service selection based on location estimation. A generic context simulator, Siafu, was used to simulate the context generated by users based on a predefined behavioural pattern. Thereafter the functionalities of the aforementioned simulator were extrapolated to provide the basis as to enable operations on the provided information. From the extracted results, for the first scenario a 2.6 times increase to the maximum mismatch probability is observed when the maximum delay is increased 9fold. For the second examined scenario, it was seen that both low accuracy and high lock time for a localisation interface are triggers for high mismatch probability for a moving user. The GPS and cellular interfaces exhibited the highest mismatch probabilities (over 70 % in the ideal case). Since this number is thought to be high for a best case, the role of service density remains to be investigated.