Wireless networks are subject to high levels of congestion. This problem affect most prominently ad-hoc wireless networks, given their multi-hop characteristic. Some works attempted to tackle this problem (i.e., redundant packet aggregation, in-network caching, packet flow control, medium access control), but these are inefficient on wireless shared medium. Therefore, we propose dynamic Node Suppression for Congestion Control (NSCC), a congestion control strategy for mobile named-data networks based on dynamic node suppression. By choosing forwarding nodes, NSCC can reduce redundant packet transmissions. NSCC results indicate that the solution complements the named-data packet delivery of NDN networks, being effective both in mitigating congestion and in optimizing the delivery of NDN data packets.

In wireless networks, the Named Data Networking (NDN) architecture maximizes contents' availability throughout multiple network paths based on multicast-based communication combined with stateful forwarding and caching in intermediate nodes. Despite its benefits, the downside of the architecture resides in the packet flooding not efficiently prevented by current forwarding strategies and mainly associated with the native flooding of the architecture or malicious packets from Interest Flooding Attack (IFA). This work introduces iFLAT, a multicriteria-based forwarding strategy forinterestFLooding mitigATion on named data wireless networking. It follows a cross-layer approach that considers: (i) the Received Signal Strength (RSS) to adjust itself to the current status of the wireless network links, (ii) the network traffic (meInfo) to detect flooding issues and traffic anomalies, and (iii) a fake Interest Blacklist to identify IFA-related flooding. In doing so, the strategy achieves better efficiency on Interest flooding mitigation, addressing both native and IFA types of flooding. We evaluated the proposed strategy by reproducing a Flying Ad hoc Network (FANET) composed of Unmanned Aerial Vehicles (UAVs) featured by the NDN stack deployed in all nodes. Simulation results show that iFLAT can effectively detect and mitigate flooding, regardless of its origin or nature, achieving greater packet forwarding efficiency than competing strategies. In broadcast storm and IFA scenarios, it achieved 25.75% and 37.37% of traffic reduction, whereas Interest satisfaction rates of 16.36% and 51.78% higher, respectively.

Named Data Networking (NDN) is a new network architecture based on the content-based model that has fundamental differences to the legacy path-based model. The first is focused on the content itself, and the latter focuses on the location of data. Both models provide different benefits to the end-user and the network, but they often cannot inter-operate due to their significant design differences. Therefore, we propose a new network architecture and protocol, both named NDN-Fab, to allow the inter-operation between path-based and content-based network architectures. NDN-Fab is based on the Fabric model and allows the edge network to operate with content-centric architectures, such as the NDN, while the core network can operate with a high-performance path-based communication model. The Core network uses the NDN-Fab protocol that can be embedded in the programmable data plane hardware of the core network's switches, allowing for the sending of multicast packets and link-layer packet steering. Our results show that NDN-Fab can be more efficient in packet forwarding than IPv4, achieving up to 150 times lower average delay, 100 times lower network dispersion, and it managed to process 21% more packets.