EDCAM: Early Detection Congestion Avoidance Mechanism

Helonde, J. B.; Wadhai, Vijay M.; Deshpande, Vinayak; Sutar, Shiv

doi:10.5120/1139-1490

Cited by 10 publications

(5 citation statements)

References 3 publications

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“…ESRT is another mechanism used where it uses congestion notification bit to manage and handle congestion by managing Sink Node. [13] EDCAM-Early Detection Congestion Avoidance Mechanism used again buffer management, considering buffer as a queue where queue will be used with some threshold levels (High Water Mark and Low Water Mark Level) and based on the current status of the queue. The HWM and LWM notifies to the nodes when to lower down the flow rate and when to increase the flow rate of Packets as per the status of Buffer used as a queue.…”

Section: Literature Surveymentioning

confidence: 99%

Congestion Control for Better Performance of WSN Based IoT Ecosystem using KHA Mechanism

2019

ijrte

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Since last two decades, Wireless Sensor Network and Mobile Communication success rate is raised too high and demanding for overall communication network as it consists of heterogeneous wireless networks. These networks provides universal wireless access change, also provide dynamic scheduling between devices, networks and whole world for communication. It is applicable for prominently highly demanding domains like medical devices, sensors used for military applications, smart buildings, societies, and cities so on. At the same time new technological domain named IoT (Internet of Things) is making high impact on communication domain. It is an integration of several technologies. It is interchangeably can also be used as Wireless Sensor Network only the difference is that the IoT devices and networks has limited storage and computing capabilities and works on the internet. As IoT Ecosystem and WSN used for numerous Computation, Communication over the internet which ultimately increased network traffic and leads to congestion in the network which affects the Quality of Service (QoS) parameters of the network. In this paper, a novel method is proposed to handle the increased network traffic and Congestion network using the Krill Herd Aggregation Mechanism.

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Section: Literature Surveymentioning

confidence: 99%

Congestion Control for Better Performance of WSN Based IoT Ecosystem using KHA Mechanism

2019

ijrte

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“…The reliability of sensor network explained in [11,12]. The node senses the physical or environmental parameters and forwards the corresponding data to the sink through cluster head.…”

Section: Literature Surveymentioning

confidence: 99%

Reliable Data Collection in Wireless Sensor Networks

Dharmadhikari¹,

Patil²,

Chandode³

2013

IJCA

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In wireless sensor networks the nodes which are near to the sink node operate as intermediate node. The source nodes will generate events as per the frequency provided to them and forward packets to the sink through intermediate nodes. The sink node could not able to collect data packets reliably since excessive number of packets drop at intermediate nodes in congestion situations. An efficient storage mechanism needed to store the packets as well to diminish packet loss. The objective of the current work is to enhance reliable data collection at sink node by using intermediate storage nodes to alleviate congestion problem in wireless sensor network. In this paper we present a typical database file attached model in vicinity to data packets storage at cluster head nodes. An attached storage database file to cluster head node will advantageous in storing data packets dropped during transmission. The dropped packets are recollected by the cluster head node from attached database file on getting negative acknowledgement from sink. The recovered data packets sent back to the sink node which will diminish packet loss. Consequently, reliable data collection is achieved at sink node.

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“…In our study,a new approach will be proposed to avoid this congestion by using two detection strategies: random early detection (RED) and weight random early detection (WRED). These two strategies are examined for the heterogeneous network to extent of their effects in many parameters [6][7][8][9]. Almost all researchers focus on the congestion avoidance under consideration either the wired or wireless environments rather than the heterogeneous.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Heterogeneous Network Based on RED and WRED

Lafta

Jabbar

2016

IJEECS

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The developing of wireless networks becomes a very important issue nowadays, since it is considered as an easy-using tool without building new infrastructure to cover a wide working area. (QoS) is improved by reducing the queue delay and buffer usage, and by increasing the average throughput and utilizationof the system. The simulation is carried out by using OPNET software to test the proposed models for different scenarios. Applying TCP protocols with the application demands are implemented this work by considering heterogeneous environment of wireless networks connecting with wired networks. The TCP congestion is critical problem is faced heterogeneous environments, this problem is appeared through sending and receiving huge data from wireless networks to wired networks and vice versa. This work is proposed a new approach of using active queue management (AQM) technique with random early detection (RED) and weight random early detection (WRED) strategies to avoid the expected congestion between the heterogeneous environments. Our simulation results show that the quality of service

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EDCAM: Early Detection Congestion Avoidance Mechanism

Cited by 10 publications

References 3 publications

Congestion Control for Better Performance of WSN Based IoT Ecosystem using KHA Mechanism

Congestion Control for Better Performance of WSN Based IoT Ecosystem using KHA Mechanism

Reliable Data Collection in Wireless Sensor Networks

Performance Evaluation of Heterogeneous Network Based on RED and WRED

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