Due to the huge constellation of appliances and devices that will be connected to the Internet in the coming years, dealing with the task of identifying the receivers of hundreds of messages, represents a fundamental challenge for the future telecommunication networks. In this paper, biologically inspired computing is used to propose a simple but effective solution to deal with the problem of addressing in large-scale communication systems in which machine-to-machine interactions are a fundamental part of the operating conditions. We introduce the main aspects of our proposal and present three simulation scenarios in NS-3 to evaluate the performance the model.