Dynamic alternate buffer switching and congestion control in wireless multimedia sensor networks

Normally sensor nodes are located at unattended environment which has low battery power. The wireless hypermedia sensor based networks have huge capacity and continuous flow of data from source to sink. Congestion arises at the time of incoming data is greater than available resources. The congestio...

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Bibliographic Details
Published in:Peer-to-peer networking and applications Vol. 13; no. 6; pp. 2001 - 2010
Main Authors: Sumathi, K., Pandiaraja, P.
Format: Journal Article
Language:English
Published: New York Springer US 01.11.2020
Springer Nature B.V
Subjects:
Batteries
Buffers
Communications Engineering
Computer Communication Networks
Congestion
Continuous flow
Data loss
Energy consumption
Engineering
Hypermedia
Information Systems and Communication Service
Multimedia
Networks
Nodes
Sensors
Signal,Image and Speech Processing
Switching
Switching theory
Wireless networks
Buffer switching
WMSN
Congestion detection
Congestion
Congestion control
Sensor nodes
ISSN:1936-6442, 1936-6450
Online Access:Get full text
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Summary:Normally sensor nodes are located at unattended environment which has low battery power. The wireless hypermedia sensor based networks have huge capacity and continuous flow of data from source to sink. Congestion arises at the time of incoming data is greater than available resources. The congestion causes packet loss, buffer over flow, energy wastage and increases end to end delay. The proposed method Dynamic Alternate Buffer switching and Congestion Control is used to manage congestion in an efficient manner. In which congestion is detected based on remaining buffer, remaining energy and trust level of the sensor nodes. T his approach is based on cost evaluation method which decides primary and spare buffers at run time. This method is used to enable dynamic buffer switching and optimize the effect of congestion. The performance of BETCC compared with various existing protocol like TCEER and TFCC in terms of energy consumption and data loss ratio.
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ISSN:1936-6442
1936-6450
DOI:10.1007/s12083-019-00797-1