A Smart Congestion Control Mechanism for the Green IoT Sensor-Enabled Information-Centric Networking

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.

Adaptive Congestion Control in Information-Centric Networking for the IoT Sensor Network

“…We also utilize content popularity and priority-based ranking as network metrics for defining delay time to transmit data from sensors to the server. In this way, the proposal is applicable for various practical IoT applications [7]. We also proved that ICN performs better than TCP/IP (Transmission Control Protocol/Internet Protocol) in terms of caching and naming in the context of sensor networking [6].…”

“…new concept of named data transmission, and implements extensive cache structure to distribute and deliver content at the same time, instead of using the host-name address to avoid disadvantages of the current Internet design. However, ICN still has many challenges including higher energy consumptions due to additional energy for caching capability [3,4,5] and higher congestion rate compared to IP-based Internet architecture [6,7].…”

“…Congestion avoidance mechanisms aim to prevent the network from getting congested whereas congestion control's objective is to recover the network from the congested state [8]. In this paper, we study the congestion control for the practical ICN implementation to solve the problems of content request flooding due to in-network caching mechanism of ICN [7]. In order to reduce the ICN architecture's congestion problem and enhance the performance, we propose an adaptive congestion control mechanism for ICN-based sensor network in the context of IoT.…”

Deep Learning Based Proactive Caching for Effective WSN‐Enabled Vision Applications

“…Content popularity prediction is one of the key points for caching in which content should be storages; there is no literature to mention in WSN fields. The author [36] used the Markov model to predict sensor operation and proposed a smart cache model based on sensor power to improve cache hit ratios in the ICN-based IoT sensor networks. In [15], based on content popularity, the author proposed a caching decision policy, which allowed a single ICN router to cache content more or less according to the popularity characteristics of the content.…”

Waste Management System Using IoT-Based Machine Learning in University

“…Many applications around the world have been implementing different operations, based on the background of IoT, to offer novel services for smart cities [1][2][3] and optimize energetic efficiency. For examples, energy efficiency was considered in [4,5], cars were connected by IoT methods in [6][7][8], and water management in smart agriculture was investigated in [9][10][11][12][13], among a long list of other IoT application areas.…”