Machine-to-Machine Content Retrieval in Wireless Networks

Abstract

Machine-to-Machine (M2M) communication is a distinct capability that enables communications with anything. With the expected connection among several tens of billions of addressable mobile devices and the exchange of a huge amount of content, the Internet and mobile communication are entering a new era that inevitably faces several challenges, especially from a content dissemination perspective. It has been exposed to many limitations such as high control overhead, frequent location updates, and network congestion. To resolve such limitations, this paper proposes an efficient hierarchical routing and content retrieval mechanism, which is called Hierarchical Routing (H-Routing) for the wireless network based on Content-Centric Networking (CCN). The H-Routing is composed of a novel content discovery approach and a common service platform for generic communications and the integration of heterogeneous devices. The proposed mechanism uses CCN and Chord-like lookup in a hierarchical M2M system in the wireless mobile environment. The H-Routing mechanism reduces unnecessary flooding of content request messages, control overhead, and the waste of resources. We also implemented the proposed mechanism in the simulation environment and analyze the performance in terms of throughput, Interest packet overhead, and Interest error ratio.