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For a given network, a backbone is an overlay network consisting of aconnected dominating set with additional accessibility properties. Once abackbone is created for a network, it can be utilized for fast communicationamongst the nodes of the network.  The Signal-to-Interference-plus-Noise-Ratio (SINR) model has become thestandard for modeling communication among devices in wireless networks. Forthis model, the community has pondered what the most realistic solutions forcommunication problems in wireless networks would look like. Such solutionswould have the characteristic that they would make the least number ofassumptions about the availability of information about the participatingnodes. Solving problems when nothing at all is known about the network andhaving nodes just start participating would be ideal. However, this is quitechallenging and most likely not feasible. The pragmatic approach is then tomake meaningful assumptions about the available information and presentefficient solutions based on this information.  We present a solution for creation of backbone in the SINR model, when nodesdo not have access to their physical coordinates or the coordinates of othernodes in the network. This restriction models the deployment of nodes invarious situations for sensing hurricanes, cyclones, and so on, where onlyinformation about nodes prior to their deployment may be known but not theiractual locations post deployment. We assume that nodes have access to knowledgeof their label, the labels of nodes within their neighborhood, the range fromwhich labels are taken $[N]$ and the total number of participating nodes $n$.We also assume that nodes wake up spontaneously. We present an efficientdeterministic protocol to create a backbone with a round complexity of$O(\Delta \lg^2 N)$.

Deterministic Backbone Creation in an SINR Network without Knowledge of Location