*M.E [Student], E & C Engg. Department, Sarvajanik College of Engineering & Technology, Surat, India
**Asst. Professor, E & C Engg. Deprtment, Sarvajanik College of Engineering & Technology, Surat, India
***Professor, Vice-Principle & Head, E & C Engg. Deprtment, Priyadarshini College of Engineering, Nagpur, India
Online published on 26 June, 2013.
The fast advancement of hardware technology has enabled the development of tiny and powerful sensor nodes, which are capable of sensing, computation and wireless communication. This revolutionizes the deployment of wireless sensor network for monitoring some area and collecting regarding information. However, limited energy constraint presents a major challenge such vision to become reality. Data communication between nodes consumes a large portion of the total energy consumption of the WSNs. Consequently, Data Aggregation techniques can greatly help to reduce the energy consumption by eliminating redundant data traveling back to the base station (sink).This paper signifies the various data aggregation techniques in wireless sensor network and implementation of a data aggregation technique in wireless sensor networks. The main goal of data aggregation is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. To provide energy efficiency we have designed energy efficient data aggregation method named E-BIN. We have considered a cluster-based wireless sensor network. Our method executes on each cluster independently and provides an energy efficient data aggregation in a cluster and hence maximize network lifetime for whole network.
Wireless Sensor Network, Sensor Node, Data Aggregation, Sink, Surve, E-BIN