Information centric networking (ICN) is a proposal for a future in-ternetworking architecture that is more efficient and scalable. Whileseveral ICN architectures have been evaluated for networks carry-ing web and video traffic, the benefits and challenges it poses forInternet of Things (IoT) networks are relatively unexplored. In ourwork, we evaluate the performance implications for typical IoT net-work scenarios in the ICN paradigm. We study the behavior of in-network caching, introduce a way to make caching more efficientfor periodic sensor data, and evaluate the impact of presence andlocation of lossy wireless links in IoT networks. In this paper, wepresent and discuss the results of our evaluations on IoT networksperformed through emulations using a specific ICN architecture,namely, content centric networking (CCN). For example, we showthat the newly proposed UTS-LRU cache replacement strategy forimproved caching performance of time series content streams re-duces the number of messages transmitted by up to 16%. Our find-ings indicate that the performance of IoT networks using ICN areinfluenced by the content model and the nature of its links, and mo-tivates further studies to understand the performance implicationsin more varied IoT scenarios.