Congestion Control for Multi-flow Traffic in Wireless Mobile Ad-Hoc Networks

Ikeda, Makoto; Kulla, Elis; Hiyama, Masahiro; Barolli, Leonard; Miho, Rozeta; Takizawa, Makoto

doi:10.1109/cisis.2012.83

Cited by 12 publications

(8 citation statements)

References 13 publications

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“…The queuing time can be caused by network congestion or unavailability of valid routes. [4] The above figure shows that average end-to-end delay is less in Fuzzy value of MANET as compared to VANET and FANET. Hence, MANET better in case of average end-to-end delay.…”

Section: Simulation Results Analysismentioning

confidence: 87%

Performance Comparison of MANET, VANET and FANET

Sahu

Shrivastava

2018

IJARCSSE

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Section: Simulation Results Analysismentioning

confidence: 87%

Performance Comparison of MANET, VANET and FANET

Sahu

Shrivastava

2018

IJARCSSE

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“…There are several congestion prediction mechanisms such as "queue-based congestion detection", "throughput-based congestion detection", and "round-trip time-based congestion detection".  Acknowledgment of Congestion: It is the subsequent stage of the mechanism for detecting and avoiding congestion [6]. After congestion is detected, the most important way is how it informs the congestion node.…”

Section: Related Workmentioning

confidence: 99%

“…Congestion is often caused by excessive input of the traffic rate into limited network bandwidth and congestion control methods limit this traffic rate to prevent congestion [2], [5]. The harmful characteristic of MANET makes it difficult to provide long network stability with low congestion and overhead [4], [6]. Current TCP-based congestion protocols avoid congestion by minimizing traffic or routing through a different route.…”

Section: Introductionmentioning

confidence: 99%

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A Routing Delay Reduction Mechanism Based on Dynamic Switching through Congestion Prediction in Wireless Mobile Network

Rana*,

Harsoor

2019

IJITEE

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The advancement in wireless mobile networks (WMNs) and their technologies are becoming the most popular technologies today and are widely used in various communication services. Devices for communication are equipped with wireless network interfaces through which they can efficiently stream data to their network-wide devices. However, due to the extreme use of different services, and TCP incapacity to control congestion, it causes a high overload in wireless communication, which makes the network extremely unstable and congested. Conventional routing methods with congestion control mechanisms for multimedia streams are not reliable for transport layer protocols. In such a case, it makes wireless networks very complex and challenging to perform smooth routing due to its dynamic characteristics and resource constraints. It can be overcome through scheduling flow control in multiple network interfaces for smooth packets streaming data, and even it can play an important role in congestion control by overwhelming the buffers of intermediate nodes and reduction in packet loss. In this paper, we propose a Routing Delay Reduction Approach (RDRA) based on dynamic switching by estimating the transmission rate and delay probability through congestion prediction. The goal of RDRA is to reduce routing latency and packet loss and improve throughput at different traffic rates. Experimental evaluation measures at different traffic rate variation it shows an improved performance in terms of throughput and low latency compared to the related protocols.

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“…Makoto Ikeda et al [4] proposed "Congestion Control for Multi-flow Traffic in Wireless Mobile Ad-hoc Networks" in his work deploy the multi-flow scenario and apply OLSR with Link Quality (LQ) extension and fisheye-algorithm. The OLSR protocol is a pro-active routing protocol, which builds up a route for data transmission by maintaining a routing table inside every node of the network.…”

Section: Related Workmentioning

confidence: 99%

Study of Congestion Control in Multi-Flow in MANET

Dwivedi¹,

Prajapati²

2015

IJCA

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Mobile ad-hoc network is a next generation communication to provide cost free communication with independent decision making system, but now a day that is under research because number of pit fall in current scenario like route fluctuation, security and congestion, so all above problem solve with different technique base, here only resolve congestion problem with the explicit rate base congestion control method, in this paper provide all the exiting work done in the field of congestion control but here we proposed efficient and collaborative technique for that. In further we simulate our proposed work with NS-2 simulator and analyze the performance of the network.

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Congestion Control for Multi-flow Traffic in Wireless Mobile Ad-Hoc Networks

Cited by 12 publications

References 13 publications

Performance Comparison of MANET, VANET and FANET

Performance Comparison of MANET, VANET and FANET

A Routing Delay Reduction Mechanism Based on Dynamic Switching through Congestion Prediction in Wireless Mobile Network

Study of Congestion Control in Multi-Flow in MANET

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