Abstract
Information-Centric Networking (ICN) is a new Internet architecture design, which is considered as the global-scale Future Internet (FI) paradigm. Though ICN offers considerable benefits over the existing IP-based Internet architecture, its practical deployment in real life still has many challenges, especially in the case of high congestion and limited power in a sensor enabled-network for the Internet of Things (IoT) era. In this paper, we propose a smart congestion control mechanism to diminish the network congestion rate, reduce sensor power consumptions, and enhance the network performance of ICN at the same time to realize a complete green and efficient ICN-based sensor networking model. The proposed network system uses the chunk-by-chunk aggregated packets according to the content popularity to diminish the number of exchanged packets needed for data transmission. We also design the sensor power-based cache management strategy, and an adaptive Markov-based sensor scheduling policy with selective sensing algorithm to further maximize power savings for the sensors. The evaluation results using ndnSIM (a widely-used ICN simulator) show that the proposed model can provide higher network performance efficiency with lower energy consumption for the future Internet by achieving higher throughput with higher cache hit rate and lower Interest packet drop rate as we increase the number of IoT sensors in ICN.
Highlights
Nowadays, communication represents one of the most important parts of our interconnected world because the Internet is a fundamental technology that provides many beneficial applications for our society and daily lives
We investigated that the proposed model can provide higher network performance efficiency for the future Internet when we increase the number of Internet of Things (IoT) sensors in Information-Centric Networking (ICN)
The results show that our ICN models can get less Interest packet drop rate of content requests than other ICN systems
Summary
Communication represents one of the most important parts of our interconnected world because the Internet is a fundamental technology that provides many beneficial applications for our society and daily lives. Together with the proposed caching mechanism, this forwarding scheme aims to minimize the number of the Interest packets needed for data transmission, reduce the congestion rate in ICN substantially; To resolve the energy efficiency (EE) problem in the sensor-enabled network, we use Markov-based adaptive sensor scheduling and selective sensing to maximize sensor power savings. This paper contributes to the new concept of green networking and congestion control in ICN with innovative ideas of selective sensing mechanism together with customized sensor operating modes according to the energy level of the sensors This concept is supported by an implementation of a smart sensor power-based caching mechanism and packet aggregation method corresponding to the popularity of the content to prolong the lifetime of sensors and enable the network stability.
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