scholarly journals MACRE: a Novel Distributed Congestion Control Algorithm in DTN

2011 ◽  
Vol 1 ◽  
pp. 71-75 ◽  
Author(s):  
Ying An ◽  
Xi Luo
Keyword(s):  
Congestion Control ◽  
Routing Protocols ◽  
Control Algorithm ◽  
Network Performance ◽  
Control Mechanism ◽  
Local Information ◽  
Global Information ◽  
Congestion Control Algorithm ◽  
End To End ◽  
Congestion Control Mechanism

Congestion control is a very important problem which can affect network performance directly. However, owing to the lack of steady end-to-end connection and high latency, the traditional congestion control mechanism based on end-to-end feedback is not feasible in DTN. Because obtaining the global information of network is difficult, the congestion control decisions should be made autonomously with local information only. We propose a novel distributed congestion control algorithm based on epidemic routing protocols----MACRE (Message Admission Control based on Rate Estimation). Preliminary experimental results show that this congestion control mechanism can improve the network performance efficiently.

A Cross-Layer Congestion Control Algorithm Based on Traffic Prediction in Wireless Sensor Networks

2013 ◽  
Vol 397-400 ◽  
pp. 2641-2646 ◽  
Author(s):  
Yi Sun ◽  
Min Li ◽  
Peng Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Control Algorithm ◽  
Control Mechanism ◽  
Wireless Sensor ◽  
Traffic Prediction ◽  
Cross Layer ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism

Congestion in wireless sensor networks can affect the networks performance seriously,not only it has impact on data transmission and the quality of service, but also wastes energy and shortens the network lifetime. Aiming at this issue, this paper proposed a cross-layer congestion control algorithm based on traffic prediction (CCATP), it can take congestion mitigation measures in advance according to the prediction result. CCATP comprises three mechanisms: (i) congestion prediction; (ii) local congestion control mechanism based on backoff time adjustment; (iii) transmission route selection based global congestion control mechanism; Simulation experiment results show that CCATP can reduce the packet loss number and improve the energy efficiency significantly, so as to effectively improve the service performance of network.

scholarly journals Two-Level Congestion Control Mechanism (2LCCM) for Information-Centric Networking

2021 ◽  
Vol 13 (6) ◽  
pp. 149
Author(s):  
Yaqin Song ◽  
Hong Ni ◽  
Xiaoyong Zhu
Keyword(s):  
Congestion Control ◽  
Data Transmission ◽  
Network Architecture ◽  
Control Algorithm ◽  
Control Mechanism ◽  
Transmission Rate ◽  
Control Mechanisms ◽  
Information Centric Networking ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism

As an emerging network architecture, Information-Centric Networking (ICN) is considered to have the potential to meet the new requirements of the Fifth Generation (5G) networks. ICN uses a name decoupled from location to identify content, supports the in-network caching technology, and adopts a receiver-driven model for data transmission. Existing ICN congestion control mechanisms usually first select a nearby replica by opportunistic cache-hits and then insist on adjusting the transmission rate regardless of the congestion state, which cannot fully utilize the characteristics of ICN to improve the performance of data transmission. To solve this problem, this paper proposes a two-level congestion control mechanism, called 2LCCM. It switches the replica location based on a node state table to avoid congestion paths when heavy congestion happens. This 2LCCM mechanism also uses a receiver-driven congestion control algorithm to adjust the request sending rate, in order to avoid link congestion under light congestion. In this paper, the design and implementation of the proposed mechanism are described in detail, and the experimental results show that 2LCCM can effectively reduce the transmission delay when heavy congestion occurs, and the bandwidth-delay product-based congestion control algorithm has better transmission performance compared with a loss-based algorithm.

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

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2889 ◽  
Author(s):  
Rungrot Sukjaimuk ◽  
Quang Nguyen ◽  
Takuro Sato
Keyword(s):  
Congestion Control ◽  
Network Performance ◽  
Control Mechanism ◽  
Real Life ◽  
Future Internet ◽  
Global Scale ◽  
Information Centric Networking ◽  
Internet Architecture ◽  
Content Popularity ◽  
Congestion Control Mechanism

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.

scholarly journals Congestion Control Mechanism for Intermittently Connected Wireless Network

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Ruyan Wang ◽  
Yang Tang ◽  
Junjie Yan
Keyword(s):  
Congestion Control ◽  
Wireless Network ◽  
Network Performance ◽  
Control Mechanism ◽  
Relay Node ◽  
Limited Resources ◽  
Packet Size ◽  
Network State ◽  
Congestion Control Mechanism ◽  
Intermittently Connected

Based on the “storing-carrying-forwarding” transmission manner, the packets are forwarded flexibly in Intermittently Connected Wireless Network (ICWN). However, due to its limited resources, ICWN can easily become congested as a large number of packets entering into it. In such situation, the network performance is seriously deteriorated. To solve this problem, we propose a congestion control mechanism that is based on the network state dynamic perception. Specifically, through estimating the congestion risk when a node receives packets, ICWN can reduce the probability of becoming congested. Moreover, due to ICWN’s network dynamics, we determine the congestion risk threshold by jointly taking into account the average packet size, average forwarding risk, and available buffer resources. Further, we also evaluate the service ability of a node in a distributed manner by integrating the recommendation information from other intermediate nodes. Additionally, a node is selected as a relay node according to both the congestion risk and service ability. Simulation results show that the network performance can be greatly optimized by reducing the overhead of packet forwarding.

Study on the Adaptive Congestion Control Algorithms for Wireless Sensor Networks

2014 ◽  
Vol 989-994 ◽  
pp. 4493-4496
Author(s):  
Zhi Jing Zhang ◽  
Zeng Xin Xie
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Network Performance ◽  
Wireless Sensor ◽  
Transmission Performance ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism ◽  
Adaptive Congestion Control ◽  
Transmission Speed

As the study on and promotion of wireless sensor networks (WSN) are deepening, people have increasingly higher requirements for the transmission speed and transmission performance of wireless sensor networks. Network congestion is an important factor of the transmission performance of a network, so congestion control becomes a hot research topic in the studies on the improvement of WSN services. Based on the study on WSN congestion control mechanism, this paper proposes an adaptive congestion control algorithm and simulates the algorithm. The simulation result shows that this algorithm can ensure stable network performance.

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