• kamlesh waghmare
• Dr. P. N. chatur

The multi-hop wireless sensor network has the lossy links and energy resource constrained nodes. Energy efficiency is the most important constrained in WSN, in such network due to their constraints in energy consumption, memory, and power resources, the performance optimization is a very big issue or challenging task in the wireless sensor networks. In this paper, we used fuzzy based data aggregation methodology to select the appropriate cluster head and non-faulty node. The cluster head transmits the aggregated data from the cluster head to the sink node and removes the redundancy as well as unnecessary data forwarding. These techniques effectively select the cluster head and malicious node based on the system parameter and data aggregation process in the network. By simulation result, we, show that our methodology has increased the throughput and packet delivery ratio with redundant packet drop and less energy consumption based on the rate

Wireless Sensor Network (WSN), Aggregation, Cluster Head, Throughput

"Efficient Data Aggregation Methodology to Increase the Performance of Wireless Sensor Network Using Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.208-216, April-2019, Available :http://www.jetir.org/papers/JETIR1904231.pdf

"Efficient Data Aggregation Methodology to Increase the Performance of Wireless Sensor Network Using Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp208-216, April-2019, Available at : http://www.jetir.org/papers/JETIR1904231.pdf