Wireless sensor network plays prominently in various
applications of the emerging advanced wireless technology such as
smart homes, Commercial, defence sector and modern agriculture
for effective communication. There are many issues and challenges
involved during the communication process. Energy conservation is
the major challenging matter and fascinates issue among the
researchers. The reason for that, Wireless sensor network has ‘n’
number of sensor nodes to identify and recognize the data and send
that data to the base station or sink through either directly or
intermediate node. These nodes with poor energy create intricacy on
the data rate or flow and substantially affect the lifespan of a
wireless sensor network. To decrease energy utilization the sensor
node has to neglect unnecessary received data from the
neighbouring nodes prior to send the optimum data to the sink or
another device. When a specific target is held in a particular sector,
it can be identified by many sensors. To rectify such process this
paper present Data agglomeration technique is one of the
persuasive techniques in the neglecting unnecessary data and of
improves energy efficiency and also it increases the lifetime of
WSNs. The efficacious data aggregation paradigm can also
decrease traffic in the network. This paper discussed various data
agglomeration technique for efficient energy in WSN.