BibTeX:

@article{IJIRSTV2I2012,
     title={Energy Efficient and Fault Tolerant Data Aggregation in Wireless Sensor Networks},
     author={Renu Bala and Piyush Mathur},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={2},
     pages={142--154},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I2012.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Wireless Sensor Networks (WSN) consist of numerous autonomous sensor nodes devices are spatially distributed to sense and monitor various changes of the environment surrounding us. Such devices are also capable to communicate in wireless sensor networks and that can also sense, monitor, transmit, receive or process numerous data like pressure, temperature, sound, motion, humidity etc. Sensor networks are collection of sensor nodes which co-operatively send sensed data to base station. As sensor nodes are battery driven, an efficient utilization of power is essential in order to use networks for long duration hence it is needed to reduce data traffic inside sensor networks, reduce amount of data that need to send to base station. The main goal of data aggregation algorithms is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. Power consumption in case of processing of data is less as compared to the transmission of data. Therefore, it is preferable to do in-network-processing of data and reduce packet size. One approach of data aggregation after data gathering is to use distributed system architecture. Wireless sensor networks have limited computational power and limited memory and battery power which leads to increased complexity of applications developed for them. Moreover, this often results in applications that are closely coupled with network protocols. Clustering is a key technique used to extend the lifetime of a sensor network by reducing energy consumption. In this paper, a fault tolerant and energy efficient data aggregation technique on wireless sensor networks is proposed. This work augments the data aggregation scheduling using Connected Dominating Set (CDS) by inculcating energy efficient techniques to enhance the network lifetime through preventing uneven consumption of battery power in the wireless motes. The simulation is carried out using MATLAB and results produced are in agreement with those of the analytical model.

Wireless Sensor Network, Data Aggregation Scheduling, Connected Dominating Set