A Survey of Comparison in Classification of Transport Control Protocol for Energy-Efficient Wireless Sensor Network

In Wireless Sensor Network (WSN), congestion must be tackled with sense of urgency.Due to the fact that there is limited memory, battery and less computational capability.Time sensitive application such as battlefield would require efficient transfer of data in order to maintain energy efficiency state of the sensors.WSN current Transport Control Protocols (WSNCP) have been critically scrutinized, such that integration of major lacking techniques in congestion mitigation would substitute energy efficiency in application deployment of sensors in multihop network environment.Hop-by-Hop and integration of these limited congestion mitigation techniques should be efficient in designing energy efficient sensor network.

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Published
2025-04-02
DOI
https://doi.org/10.18260/1-2-1153-54059
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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article

A Survey of Comparison in Classification of Transport Control Protocol for Energy-Efficient Wireless Sensor Network

Samuel Erskine, Hassan Bajwa
Energy Efficient Wireless Sensor Networks
article

A Survey of Comparison in Classification of Transport Control Protocol for Energy-Efficient Wireless Sensor Network

Samuel Erskine, Hassan Bajwa
article en

Abstract

In Wireless Sensor Network (WSN), congestion must be tackled with sense of urgency.Due to the fact that there is limited memory, battery and less computational capability.Time sensitive application such as battlefield would require efficient transfer of data in order to maintain energy efficiency state of the sensors.WSN current Transport Control Protocols (WSNCP) have been critically scrutinized, such that integration of major lacking techniques in congestion mitigation would substitute energy efficiency in application deployment of sensors in multihop network environment.Hop-by-Hop and integration of these limited congestion mitigation techniques should be efficient in designing energy efficient sensor network.

University of Bridgeport (US)
Affordable and clean energy
Openalex Percentile: Top 94%
Energy Efficient Wireless Sensor Networks
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