Tasarsız ve algılayıcı ağlarda yer belirleme algoritmalarının değerlendirilmesinde kullanılan metrikler üzerine bir araştırma

In ad-hoc and sensor networks, the location of a sensor node making an observationis a vital piece of information to allow accurate data analysis. GPS is anestablished technology to enable precise position information. Yet, resource constraintsand size issues prohibit its use in small sensor nodes that are designed tobe cost efficient. Instead, most positions are estimated by a number of algorithms.Such estimates, inevitably introduce errors in the information collected from thefield, and it is very important to determine the error in cases where they leadto inaccurate data analysis. After all, many components of the application relyon the reported locations including decision making processes. It is, therefore,vital to understand the impact of errors from the applications? point of view. Todate, the focus on location estimation was on individual accuracy of each sensor?sposition in isolation to the complete network. In this thesis, we point out theproblems with such an approach that does not consider the complete networktopology and the relative positions of nodes in comparison to each other. Wethen describe the existing metrics, which are used in the literature, and also proposesome novel metrics that can be used in this area of research. Furthermore,we run simulations to understand the behavior of the existing and proposed metrics.After having discussed the simulation results, we suggest a metric selectionmethodology that can be used for wireless sensor network applications.