Intelligent Information‐Centric Networking routing scheme under imprecise information

Abstract

Information-Centric Networking (ICN) has been accepted to overcome some weaknesses of the current Internet architecture, showing that "what is being exchanged" is more important than "who are exchanging information." Given the inadequate considerations on Quality of Service (QoS) and energy saving in ICN routing, we propose in this paper a routing algorithm to enhance the two aspects. At first, on one hand, Cauchy distribution is used as a fuzzy model to evaluate users' QoS requirements, such as bandwidth, delay, and error rate; on the other hand, we formulate energy saving problem to evaluate the green quality of routing algorithm. Then, we design a link selection approach by considering QoS and energy saving, which belongs to a multi-objective decision problem resolved by intelligent drops algorithm. Finally, we implement the proposed algorithm and compare it with the famous adaptive forwarding mechanism in terms of some significant metrics, and the experimental results reveal that the proposed algorithm is more efficient.KEYWORDS green internet, imprecise information, information-centric networking, intelligent drops algorithm, quality of service a resurgence of research activity, and there have been a variety of interesting and effective candidate solutions for most routing problems. In deed for ICN, the naming aims at accomplishing the process of routing while the caching is insignificant without the routing. There can be no doubt that the routing plays a considerably important role in ICN research.The traditional services provided by TCP/IP-based network are a kind of best effort services, 9 which only ensure transmission performance within one hop and cannot provide the satisfactory QoS requirements for users in terms of the whole path. In general, QoS depends on multiple parameters, such as bandwidth, delay, and error rate, 10 and it can provide the satisfactory services for users from the global perspective. Another point, QoS is to ensure network operations efficient and stable, while the important data services are not impacted by delay or discard phenomenon. Although the end-to-end QoS is of utmost importance and can be implemented effectively in most systems or cooperative services, there are few researches on QoS, this is because ICN maintains connectionless transmission, that is, the end-to-end communication mode cannot be guaranteed. In spite of this, if ICN wants to be deployed massively, it has to be compatible with the current mainstream applications, eg, video-on-demand and content delivery, which usually provide the real-time requirements and support QoS. Given this, ICN should also consider QoS. On one hand, the transmission quality of content is improved; on the other hand, the application compatibility is achieved.Furthermore, with the increasing of large-scale network infrastructures, the network energy consumption relentlessly soars, and the problem of low energy efficiency is very severe. In terms of telecommunication network, the corresponding energy consumption accounts to about 5%, b...

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

“…In addition, four metrics, that is, the average routing success rate, the average routing delay, the average load balance degree, and the average energy efficiency, are considered the criteria of evaluation performance. Moreover, the research works in [7,8] are considered two baselines for comparison, because they are the latest intelligent CCN routing strategies, which are shortened as IJCS and ITL, respectively. erein, [7] devises an energyefficient QoS routing by using the intelligent drops algorithm.…”

“…Moreover, the research works in [7,8] are considered two baselines for comparison, because they are the latest intelligent CCN routing strategies, which are shortened as IJCS and ITL, respectively. erein, [7] devises an energyefficient QoS routing by using the intelligent drops algorithm. Reference [8] proposes an intelligent Q-learning based on reinforcement learning to address the congestion control problem.…”

“…It used the forwarding experiences of particles to maintain the forwarding probability of entry with the multiple Quality of Service (QoS) constraints consideration. In [7], an energy-efficient QoS routing was devised, in which a multiple-objective decision problem was involved. It used the intelligent drops algorithm to address the NP-hard problem.…”

“…In particular, the quorum sensing is used to obtain the parameter information on bandwidth, delay, and error rate to facilitate the subsequent forwarding of packets; and the adaptive chemotaxis is used to determine the optimal interface for forwarding the packets through the information measurement. In addition, different from [6][7][8][9], this paper evaluates the proposed ICBQ based on real Netflix dataset rather than the random dataset, which guarantees the credibility and availability of ICBQ. In summary, the contributions of this paper have two aspects.…”