Congestion Control Mechanism in Wireless Sensor Network - QoS Evaluation and Performance Analysis

Congestion Control Mechanism in Wireless Sensor Network - QoS Evaluation and Performance Analysis
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Total Pages : 0
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ISBN-10 : 1685763553
ISBN-13 : 9781685763558
Rating : 4/5 (53 Downloads)

Book Synopsis Congestion Control Mechanism in Wireless Sensor Network - QoS Evaluation and Performance Analysis by : Vaibhav Eknath Narawade, 1st

Download or read book Congestion Control Mechanism in Wireless Sensor Network - QoS Evaluation and Performance Analysis written by Vaibhav Eknath Narawade, 1st and published by . This book was released on 2022-08-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless Sensor networks (WSN) has emerged as the effective tool for gathering the information from the remote environment. The sensor node communicates with the base station simultaneously when the data is available. This results in the packet loss at the receiving node. Since the nodes operated in the WSN are battery operated, retransmission of the data packets due to the congestion results in the failure of the system. Thus avoiding the congestion in the nodes has emerged as important research topic. In this book work utilizes a congestion threshold for determining the congested node in the WSN. Since the data packets have its own priority, the low priority data packets are dropped during the transmission to reduce the congestion. The presence of the congestion in the node can be lowered by making the share rate of the child nodes less than the service rate of the parent node. In this thesis, the congestion avoidance is done by choosing the optimal share rate with three proposed works. The proposed work included in this thesis is ACSRO, EACSRO, and NNRA algorithm. The proposed ACSRO algorithm modifies the existing CS algorithm and uses a proposed fitness function for finding the optimal share rate. The proposed ACSRO algorithm uses the adaptive step size for modifying the existing CS algorithm. The proposed EACSRO algorithm modifies the ACSRO algorithm with the use of the epsilon constraint. The proposed NNRA algorithm uses the NARX based neural network of the optimization process.


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Document from the year 2018 in the subject Instructor Plans: Computing / Data Processing / IT / Telecommunication, , course: Wireless Sensor Network, language: