Affiliations: Pervasive Computing Systems – TecO, Karlsruhe Institute of Technology (KIT), Vincenz-Priessnitz-Str. 1, 76131 Karlsruhe, Germany, E-mail: Predrag.Jakimovski@kit.edu | Carnegie Mellon University in Rwanda, Telecom House, Boulevard de l'Umuganda, Kacyiru-Kigali, Rwanda, E-mail: schmidtke@cmu.edu | National Institute of Informatics (NII), 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan, E-mail: sigg@nii.ac.jp | SAP Research CEC Karlsruhe, Vincenz-Priessnitz-Str. 1, 76131 Karlsruhe, Germany, E-mail: leonardo.weiss.f.chaves@sap.com
Note: [] Corresponding author.
Abstract: Intelligent Environments are currently mostly implemented with WSN technologies using conventional connection-based communications. However, connection-based communications may impede progress towards intelligent environments involving massive amounts of sensor nodes. The goal of this paper is to chart a field of more suitable technologies for communication in intelligent environments, which we call collective transmission methods. The idea of collective transmission is to establish communication not between single senders and single receivers but between collectives of senders and receivers, by making use of constructive interference of simultaneously sent signals. We detail how the collective transmission approach can be realized for a concrete application scenario: item-level tagging using printed organic electronics. We describe an algorithm that can be realized on very simple tags. With a testbed implementation, we show that this algorithm can realize robust, collective, approximate read-out of 21 simultaneously sent signals.
