The named data networking (NDN) might help improve data acquisition efficiency for a mobile ad hoc network (MANET) due to its advantages, but the inherent characteristics of MANET and the architecture differences between MANET and NDN make it challenging to deploy NDN in MANET. In NDN, data routers are static and servers usually work as providers, so Forwarding Information Bases (FIBs) are relatively stable. In MANET, mobile nodes assume roles of both data routers and providers, so FIBs are unstable. Frequent FIB update may cause broadcast storm and stale FIBs, which results in data acquisition failures. Moreover, in NDN reverse paths are made up of static data routers, so they are relatively steady. In MANET reverse paths involve a large number of mobile nodes, so they frequently disrupt. This leads to frequent data acquisition failures and considerable data retrieval costs and delays. Taking these challenges into account, we propose an efficient data acquisition solution for NDN-based MANET and aim to improve data acquisition success rates and reduce data acquisition costs. In the proposal, mobile nodes perform data retrieval without FIBs and multiple consumers retrieve data via one data acquisition process. Furthermore, mobility support is achieved to guarantee reverse-path continuity and successful reception of data. Finally, the proposed solution is evaluated, and the experimental results show that the solution effectively improves data retrieval success rates and reduce data retrieval costs and delays.

The Internet of Things (IoT) aims to enhance the quality of human life by sensing, processing and delivering data from the physical world. The Internet of Things Cloud (IoTC) is able to enhance sensing capabilities of IoT devices while fog computing can overcome computation and storage limitations of IoT devices. Based on this observation, we propose a fog-assisted IoTC data collection and delivery framework to reduce IoTC-based data communication costs and enhance success rates. The framework exploits the named data networking to deliver IoTC-based data so that multiple IoT devices can retrieve data from the nearest provider via one data delivery process. Moreover, the framework achieves mobility support for IoT devices to guarantee successful receipt of data. The experimental results show that this framework reduces data communication costs by nearly 37.15% and improves success rates by nearly 9.25%.