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Vandana Kushwaha

Bio: Vandana Kushwaha is an academic researcher from Banaras Hindu University. The author has contributed to research in topics: Network congestion & Computer science. The author has an hindex of 4, co-authored 6 publications receiving 50 citations.

Papers
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Journal ArticleDOI
TL;DR: This paper presents a survey of congestion control approaches in high speed wired network by taking into account both directions of congestion Control research: source based and router based congestion control.

37 citations

Journal ArticleDOI
TL;DR: An attempt has been made to present a systematic review of recent efforts assisted at refining the congestion control methodologies in WSNs by considering classical approaches as well as soft computing based approaches.

19 citations

Book ChapterDOI
01 Jan 2019
TL;DR: In this chapter, the authors emphasize delay tolerant networks by considering its architectural, routing, congestion, and security issues.
Abstract: Opportunistic networks are one of the emerging evolutions of the network system. In opportunistic networks, nodes are able to communicate with each other even if the route between source to destination does not already exist. Opportunistic networks have to be delay tolerant in nature (i.e., able to tolerate larger delays). Delay tolerant network (DTNs) uses the concept of “store-carry-forward” of data packets. DTNs are able to transfer data or establish communication in remote area or crisis environment where there is no network established. DTNs have many applications like to provide low-cost internet provision in remote areas, in vehicular networks, noise monitoring, extreme terrestrial environments, etc. It is therefore very promising to identify aspects for integration and inculcation of opportunistic network methodologies and technologies into delay tolerant networking. In this chapter, the authors emphasize delay tolerant networks by considering its architectural, routing, congestion, and security issues.

7 citations

Proceedings ArticleDOI
01 Sep 2013
TL;DR: An analysis of performance parameters for Congestion control approaches in High speed wired network by taking into account both directions of congestion control research: end-to-end & router based congestion control.
Abstract: This paper presents an analysis of performance parameters for Congestion control approaches in High speed wired network by taking into account both directions of congestion control research: end-to-end & router based congestion control. Various papers reported in the literature, regarding congestion control approaches, have considered end to end approach and router based approach independent to each other and takes either of them into account. Both research directions are closely related to each other for a particular network domain and are equally important. It is practicable idea to take a holistic view and study the performance metrics of both the approaches together. The main motivation of this work is to summarize the performance parameters for both the approaches of congestion control and motivate further research on this topic.

6 citations

Proceedings ArticleDOI
01 Nov 2019
TL;DR: This research article has provided a comprehensive analysis of performance parameters considered by researchers and programmers while designing congestion control algorithms in wireless sensor networks, and their effect on the performance of algorithms.
Abstract: Congestion control has been witnessed as most pervasive problem in the literature for design and development of Wireless Sensor Networks(WSNs). The most obvious reason of congestion occurrence in WSNs is resource constraints in terms of information processing, storage space, transmission bandwidth and most importantly power supply. To cope effectively with this problem, researchers need to model energy-aware protocols and algorithms along with taking into account different networking parameters such as throughput, reliability, fairness, packet loss ratio, etc. to ensure quality of service. In this research article, we have provided a comprehensive analysis of performance parameters considered by researchers and programmers while designing congestion control algorithms in wireless sensor networks, and their effect on the performance of algorithms. Unlike past studies we have not only considered classical approaches but also analyzed novel soft computing based approaches. It is logical intellection to take a holistic view and study the performance metrics of both the approaches of congestion control so that it would be useful for improving algorithms and further directions in the field of WSNs.

2 citations


Cited by
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Journal Article
TL;DR: In this article, the most important selective packet dropping policies that have been designed for best-effort traffic in ATM and IP networks, providing a comprehensive comparison between the different mechanisms.
Abstract: Selective packet dropping policies have been used to reduce congestion and transmission of traffic that would inevitably be retransmitted. For data applications using best-effort services, packet dropping policies (PDPs) are congestion management mechanisms implemented at each intermediate node that decide, reactively or proactively, to drop packets to reduce congestion and free up precious buffer space. While the primary goal of PDPs is to avoid or combat congestion, the individual PDP designs can significantly affect application throughput, network utilization, performance fairness, and synchronization problems with multiple transmission control protocol (TCP) connections. Scalability and simplicity are also important design issues. This article surveys the most important selective packet dropping policies that have been designed for best-effort traffic in ATM and IP networks, providing a comprehensive comparison between the different mechanisms.

62 citations

Journal ArticleDOI
TL;DR: This paper presents a survey of congestion control approaches in high speed wired network by taking into account both directions of congestion Control research: source based and router based congestion control.

37 citations

Journal ArticleDOI
TL;DR: DC-Vegas combines the performance advantages of DCTCP with the deployment advantages of delay-based TCP Vegas, and can meet both soft real-time and incast avoidance requirements of datacenters, requiring minimal deployment modification to existing datacenter hardware/software.

26 citations

Proceedings ArticleDOI
01 Sep 2020
TL;DR: The resource control mechanism is performed by providing the alternative path towards to base station using a Q-learning for congestion alleviation and efficiently ameliorates the congestion and enhances the performance across multiple performance metrics.
Abstract: In wireless sensor networks (WSNs), congestion is one of the challenging issues. It degrades the network’s performance in various operating variables such as throughput, latency, energy consumption, packet loss, lifetime of the network and etc. Congestion occurs in WSN when the rate of sensor data flow outreach the channel or buffer capacity. The congestion is controlled in two ways in WSN, such as controlling network traffic or efficiently managing the resources. This paper performs the resource control mechanism by providing the alternative path towards to base station using a Q-learning for congestion alleviation. This congestion-aware data acquisition (CADA) mechanism initially identifies the congestion node (CN) where the nodes buffer occupancy ratio is higher. Further, we recognize the proper next node to construct the dynamic alternative route to the base station. The CADA is evaluated in various network conditions by comparing it with recent congestion-aware algorithms. The simulation tests show that the CADA efficiently ameliorates the congestion and enhances the performance across multiple performance metrics.

22 citations

Journal ArticleDOI
TL;DR: An attempt has been made to present a systematic review of recent efforts assisted at refining the congestion control methodologies in WSNs by considering classical approaches as well as soft computing based approaches.

19 citations