A cooperative decision making algorithm for wireless location systems using interlinking data

Abstract

Nowadays, several wireless location systems have been developed in the research world. The goal of these systems has always been to find as greatest accuracy as possible. But, if every node takes data from the environment, we could gather a lot of information, which may help us to know what is happening around our network. In order to obtain the correct conclusion, we have developed an algorithm based on interlinking data. These data come from several nodes, and each node can give us one or several parameters. Our algorithm deals these data cooperatively in order to find the connection between them and provide the environmental behavior. This algorithm is based on statistical methods due to the fact that it involves an observational experiment. Finally, our cooperative decision making algorithm is tested on a wireless location system. The results show that this algorithm works properly and we are able to know what is happening around our wireless location system when we use it. © 2013 Springer-Verlag Berlin Heidelberg.