Intelligent Content-Centric Networking Routing Strategy: A Bacterial Quorum Inspired Pattern

Abstract

In recent years, the Content-Centric Networking (CCN) has attracted much attention from the global Internet experts, especially it has demonstrated the outstanding effect on the application in the field of Internet of Things (IoT). At present, the routing technique of ICN is subjected to the dynamic change of network environment with the development of mobile Internet. Therefore, this paper proposes an Intelligent CCN routing strategy based on Bacterial Quorum pattern (ICBQ). The ICBQ tries to simulate the behaviors of bacteria, including quorum sensing and adaptive chemotaxis. Meanwhile, the quorum sensing can obtain the parameter information on bandwidth, delay and error rate to facilitate the subsequent forwarding of packets; The adaptive chemotaxis can select the optimal interface to forward the packets through the information measurement. The simulation is driven based on the real Netflix dataset over the GTS network topology, and the experimental results show that the proposed ICBQ has better performance in terms of routing success rate, routing delay and load balance.

An Efficient Probe-Based Routing for Content-Centric Networking

“…The provider node selects the shortest path to forward data packets within the minimum delay to achieve high energy efficiency. Yang et al [ 31 ] proposed an Intelligent CCN routing strategy based on Bacterial Quorum pattern (ICBQ). It simulates the quorum sensing behavior of bacteria to obtain parameter information such as bandwidth, delay, error rate, and adaptive chemotaxis behavior to select the optimal interface to forward packets.…”

“…All the simulations ran 480 s each time. Basic CCN, EEGRP [ 31 ] and ReCIF + PIF [ 41 ] as comparison methods adopted the same settings in this paper. Table 1 lists the detailed experimental parameter settings.…”

“…Figure 8 illustrates the impact of router failures on the performance of our approach, RECIF+PIF [ 41 ] and EEGPR [ 31 ]. This simulation adopts PoP-level SPRINT topology [ 7 , 33 ].…”