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Wireless Sensor Networks (WSNs) comprises several sensor nodes. The energy consumption is the major issue in WSNs. Data aggregation is a main method to conserve energy in WSN and minimizes the number of transmissions and then to save energy. This paper focuses on various data aggregation algorithms and protocols to collect and aggregate data in an efficient way so that life energy is increased. And, the varieties of algorithms are compared by of performance measures such as latency, data accuracy and life time. To make data aggregation more efficient a potential-based dynamic routing is elaborated to support an Attribute - aware Data Aggregation (ADA) strategy which is relied upon the idea of potential in physics and pheromone in an ant colony.