Analysis of Data Aggregation Techniques in WSN

  • Nihar Ranjan RoyEmail author
  • Pravin Chandra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1059)


Wireless sensor networks (WSNs) produce a huge amount of application-specific data. These data need to be processed and transmitted to base station, which is a costly affair. Since WSN nodes are resource-constrained, efficient data processing and conserving energy are prime challenges. It has been observed that most of the data sensed by the sensors are redundant in nature. If data redundancy can be reduced, then it will lead to an increased lifetime of the network and reduced latency. In this paper, we surveyed different techniques for reducing redundancy in data, and in particular through aggregation. We have discussed data aggregation taxonomy, challenges and critically analysed aggregation techniques proposed in the last 10 years.


Data redundancy Data aggregation Data compression Lifetime Wireless sensor network 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.GD Goenka UniversityGurgaonIndia
  2. 2.School of Information, Communication and TechnologyGuru Gobind Singh Indraprastha UniversityNew DelhiIndia

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