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A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks

A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks

Abhishek Bajpai, Shashank Yadav, Naveen Tiwari, Anita Yadav, Mansi Chaurasia
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 14
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781683180449|DOI: 10.4018/IJMCMC.297964
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MLA

Bajpai, Abhishek, et al. "A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks." IJMCMC vol.13, no.1 2022: pp.1-14. http://doi.org/10.4018/IJMCMC.297964

APA

Bajpai, A., Yadav, S., Tiwari, N., Yadav, A., & Chaurasia, M. (2022). A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 13(1), 1-14. http://doi.org/10.4018/IJMCMC.297964

Chicago

Bajpai, Abhishek, et al. "A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 13, no.1: 1-14. http://doi.org/10.4018/IJMCMC.297964

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Abstract

Nowadays sensor nodes are being deployed anywhere as per the applications and real-time data analysis. A major concern of this implementation is the limited battery power and huge data generation. The data redundancy can also be a cause of battery decay. This scheme spends the energy based on priority. This method also uses a mobile agent for the data collection from the sensor nodes, when it is combined with optimal cluster head along with marking of subtle aggregators gives a satisfying performance. This approach is divided into three phases as clustering of sensor nodes then computing PEDAS and finally deploy a mobile agent. Our approach of PEDAS measure parameters in an optimized manner which develops an energy-efficient system and only spends the energy at the moment when it is needed the most. The proposed model was simulated and verified using network-simulator 3. Implementation and analysis of the algorithm prove that this research study has improved the lifetime of the entire network and also provide a stable and robust network while comparing it with EEDAC and ATL scheme.