A systematic analysis and review on producer mobility management in named data networks: Research background and challenges

A systematic analysis and review on producer mobility management in named data networks: Research background and challenges

Blog Article

The effectiveness of the current Internet architecture has been challenged due to the exponential and revolutionary expansion of smart mobile devices and content requirements.Therefore, the underlying solutions, such as Named Data Networks (NDN), is designed to achieve a highly efficient architecture for content delivery and to manage mobile devices in the network.Mobility is becoming a more exciting and hotly debated topic nowadays as it plays an increasingly significant role in the expanding trend of network device mobilisation.

Thus, this study deliberates one of the emerging popular mobility issues in NDN and enlightens both consumer and producer mobility.While NDN paradigm made possible the consumer mobility by establishing the in-network caching functionality, producer mobility is still Power Rangers struggling to manage content distribution.The mobile producer handoff process confronting several challenges due to lack of new location update towards the network.

Although, the research community has discovered numerous improvements related to producer mobility, but the network is still experiencing long handoff latency and packet loss.Therefore, this paper critically examined the substantial research works on producer mobility that have already been completed and struggling to achieve the desired level of mobility support in NDN.This survey categorizes producer mobility solutions into five different approaches depending on their characteristics and functionalities.

In addition, it also measured the performance of each mobile producer approach in terms of handoff latency through Bobbleheads network analysis model.Moreover, the research problems and long-standing challenges among the approaches have been summarised and suggested an intuitive direction through network analysis results.