• S ANURADHA
• Dr. D. SREENIVASA RAO

From multiple years of study conducted, WSNs are emerging for smart processing of ever growing role in monitoring the energy harvesting resources to deploy. For the deployment, monitoring and updating for each and every resource in WSNs manually becomes a daunting task due to large number of sensor nodes and different kind of environment. So to overcome the manual challenging of deployment, monitoring of data sensing, collection, aggregation and analysis needs an efficient data aggregation techniques. In order to determine the data aggregating techniques for Heterogeneous Wireless Sensor network should need a continues streaming model, to organize data streaming from one specific environment to other configured with mobile base stations. The mobility and heterogenous network model causes more resources and produces additional overhead. To determine an efficient data aggregation technique we are conducting a review on over data aggregation techniques for HWSN by considering the energy and mobile sink parameters. This paper describes the various challenges and techniques drawn to achieve the energy and performance in HWSN.

WSN, Data Aggregation, Mobile Sink

"ENERGY EFFICIENT DATA AGGREGATION IN WSN : A SURVEY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b300-b306, July-2021, Available :http://www.jetir.org/papers/JETIR2107166.pdf

"ENERGY EFFICIENT DATA AGGREGATION IN WSN : A SURVEY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb300-b306, July-2021, Available at : http://www.jetir.org/papers/JETIR2107166.pdf