Data Aggregation and Its Impact on Performance Enhancement
Lakshmi Bhaskar1, Yamuna Devi C. R.2
1Lakshmi Bhaskar, Assistant Professor, Department of Electronics and Communication Engineering, BNMIT, Bangalore (Karnataka), India.
2Dr. Yamuna Devi C. R., Professor and Head, Department of Telecommunication Engineering, Dr. Ambedkar Institute of Technology, Bangalore (Karnataka), India.
Manuscript received on 04 December 2019 | Revised Manuscript received on 12 December 2019 | Manuscript Published on 31 December 2019 | PP: 316-319 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10831292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1083.1292S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless sensor network incorporates an innovative aspect called as data handling technologies for big data organization. In today’s research the data aggregation occupies an important position and its emerging rapidly. Data aggregation incudes, process of accumulating the data at node, then either store or transfer further to reach out the destination. This survey depicts about the previous work on data aggregation in WSN and also its impact on the different services. There are number of data aggregation techniques available for reducing the data, processing the data and storing the data. Some of them are discussed here as a review. The data aggregation performed using certain techniques can also be aimed in having energy efficiency, time efficient, security could be in the form of confidentiality, unimpaired, authenticate, freshness, quality, data availability, access control, nonrepudiation, secrecy, secrecy. These are the relevant performance metrics to maintain the better Qos in WSNs applications. The goal of this paper is to display an overview of existing techniques for performance improvement in homogenous/ heterogenous networks.
Keywords: Data Aggregation, Energy Efficient, QoS, Wireless Sensor Networks.
Scope of the Article: Data Visualization