Performance Analysis of Interference Cancellation and Traffic Scheduling Algorithm (ICTSA) with Mobility Management in 5G Emergency Networks

During disaster or emergency condition wireless communication serves a main role in saving the victims. The rescuers can safeguard the life of victims through the data provided by wireless communication. The main backdrops in the current communication are low bandwidth, limited battery life, lack of...

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Bibliographic Details
Published in:	2022 Smart Technologies, Communication and Robotics (STCR) pp. 1 - 5
Main Authors:	Kiruthika, V, Sathish Kumar, N, Vimal, SP
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10-12-2022
Subjects:	Cognitive Radio Networking Dynamic Spectrum Access Emergency Communication Networks Software Defined Networking
Online Access:	Get full text
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Summary:	During disaster or emergency condition wireless communication serves a main role in saving the victims. The rescuers can safeguard the life of victims through the data provided by wireless communication. The main backdrops in the current communication are low bandwidth, limited battery life, lack of security and high latency. The rescuers and the victims cannot effectively communicate with each other during these crisis situations. The responsiveness during emergencies should be improved and the patients should immediately be taken care. The cognitive radio network integrated with 5G technology paves effective communication between the rescuers and the victims. The proposed Interference Cancellation with Traffic Scheduling Algorithm(ICTSA) cancels the interference and provides efficient traffic scheduling during emergencies. The performance factors investigates are Duration,Delay, Energy Efficiency, Speed and Throughput. From the experimental investigation it is inferred that the proposed algorithm improves throughput and decreases delay resulting in efficient communication between the rescuers and the victims. Thus the model is much suitable for emergency networks or preferred during disasters.
DOI:	10.1109/STCR55312.2022.10009393