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Optimization of Network Mapping for Screening and Intrusion Sensing Devices Read chapter Read first chapter

2024 | OriginalPaper | Chapter

Congestion Management Techniques in WSNs: A Comparative Study

Authors : Ajai Kumar, D. K. Lobiyal

Published in: Cryptology and Network Security with Machine Learning

Publisher: Springer Nature Singapore

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Abstract

Wireless sensor network (WSN) is an interconnection of numerous sensor nodes with autonomous processing and communication capability. Sensor nodes collect data from the surroundings and transmit it to an endpoint receiver which is known as a sink, so that appropriate decisions can take place. WSN has resource constraints in terms of bandwidth, energy, storage, and processing. Due to limited resources, congestion may occur in WSN. Congestion is one of the serious issues in the network which is degrading the performance of the network and quality of service (QoS). Some factors like packet collision, channel contention, and data transmission in many-to-one fashions become the catalyst for congestion and result in packet drop. Many researchers provided different solutions to solve the issue, but congestion is still a serious problem. Therefore, more specialized strategies are required to manage congestion. In this paper, we have investigated various congestion detection and management methods and compared them based on queue, priority, source management, traffic management, packet service time, channel load, and buffer occupancy.

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Metadata
Title
Congestion Management Techniques in WSNs: A Comparative Study
Authors
Ajai Kumar
D. K. Lobiyal
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Cryptology and Network Security with Machine Learning

Print ISBN: 978-981-9706-40-2

Electronic ISBN: 978-981-9706-41-9

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-0641-9_18