A Survey Paper on Reduction in Loss of Signals in Wireless Sensor Network Using Data Aggregation Techniques

A wireless sensor network is a group of special transducers with a communications infrastructure for monitoring and recording conditions at different locations. Commonly monitored parameters are temperature, humidity, pressure, wind direction, speed illumination, vibration intensity and sound intensity, power-line voltage, chemical concentrations, pollutant levels and necessary body functions. The main aim of data aggregation algorithms is to gather and aggregate data in an energy efficient way so that network lifetime is enhanced. The proposed algorithm based on reducing amount of loss of signals between sink node and one or more Data Aggregation Nodes(DAN).In our Literature we proposed Jacobi Decomposition Algorithm which reduces energy consumption and enhance network lifetime.