The number of sensors and trackable goods increases in the world every day, hence, companies are highly interested in using this information in order to improve their business processes. The focus is on detecting certain situations from a large amount of data. The so called Complex Event Processing (CEP) offers the needed techniques to fulfill the requested requirements. Unfortunately, most CEP systems only work in homogeneous networks and hence, there is a certain need for interoperability between the networks. The distributed heterogeneous event processing (DHEP) project tries to fill that gap in cooperation with the University of Stuttgart and the IBM Research and Development GmbH. The placement of event correlation rules into the network has an important influence on the load distribution of nodes as well as on the event-rates the network can process. Furthermore, the placement concept has to cope with the heterogeneity of the project. This thesis describes the concepts for deploying the rules into the network as well as creating an efficient placement algortihm.