Cluster based approximate data collection for wireless sensor networks

In Wireless Sensor Networks, directly sending large amount of data to the sink node may cause several problems. So, the data aggregation is a basic task in wireless sensor network. Certain application needs approximate data collection. In this paper, we focus on to collect a data approximately and efficiently with limited energy. So, we propose a technique called ADC (Approximate Data Collection), it divides an sensor network into cluster and determine data association on each cluster head and approximate data collection on sink node. In particular, we propose a doorway algorithm to approximate the sensor node readings in cluster head. The proposed technique is adaptive to environment changes. It is more efficient and reduces the amount of message transmission when compared to existing techniques.