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ct 22(3): e4

Research Article

Techniques For Reducing Energy And Delay For Data Aggregation In Wireless Sensor Networks

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  • @ARTICLE{10.4108/eetct.v9i3.2140,
        author={Muhammad Shoaib Akhtar and Tao Feng},
        title={Techniques For Reducing Energy And Delay For Data Aggregation In Wireless Sensor Networks},
        journal={EAI Endorsed Transactions on Creative Technologies},
        volume={9},
        number={3},
        publisher={EAI},
        journal_a={CT},
        year={2022},
        month={10},
        keywords={WSN, QOS, Data Aggregation},
        doi={10.4108/eetct.v9i3.2140}
    }
    
  • Muhammad Shoaib Akhtar
    Tao Feng
    Year: 2022
    Techniques For Reducing Energy And Delay For Data Aggregation In Wireless Sensor Networks
    CT
    EAI
    DOI: 10.4108/eetct.v9i3.2140
Muhammad Shoaib Akhtar1, Tao Feng1,*
  • 1: Lanzhou University of Technology
*Contact email: 13.cs.194@gmail.com

Abstract

WSN have many applications in different fields like medical, military, health and agriculture, etc., due to its data sensing and gathering abilities to Base station. The main issue in wireless sensor network is energy efficiency under consideration of QOS parameter like delay and security. Many of techniques have been proposed in literature but few work on energy efficient network with QOS. Due to lack of prior research in this area of study, this research will optimize the existing result in manner of giving efficient energy mechanisms and will also provide QOS as well as reduction of delay. It is very important to calculate energy efficiency and data transmission rate in wireless sensor networks because it is widely used in every field of life, especially when we are talking about medical, military and navigation system. After identifying main issues, this research will focus on energy efficiency and delay reduction. But other factors like security and average transmission time is not fully focused.

Keywords
WSN, QOS, Data Aggregation
Received
2022-06-25
Accepted
2022-08-02
Published
2022-10-11
Publisher
EAI
http://dx.doi.org/10.4108/eetct.v9i3.2140

Copyright © 2022 Muhammad Shoaib Akhtar et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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