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Data Aggregation to Improve Quality of Service in Wireless Sensor Network: Survey?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 10)

Publication Date:

Authors : ; ; ; ;

Page : 783-790

Keywords : Data Aggregation; forward aware factor; power aware; quality of service;

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Wireless sensor Networks (WSN) comprises of sensor nodes which have the capability to sense and communicate. The capabilities of these nodes have certain limitations. These networks have wide applications in the fields of habitat monitoring, security & military, disaster management, etc. Due to the restriction of resources in memory, communication capability, sensing computational capability, battery power of sensor nodes, it is very essential to curtail the amount of data transmission. One of the crucial techniques in wireless sensor networks is data aggregation. Data aggregation is a process which uses aggregation function to aggregate the incoming data from different sources in order to reduce redundancy in the transmitted data. The data aggregation algorithms mainly focus on enhancing the network lifetime by gathering and aggregating data in an energy efficient manner; this further improvises the average lifetime of a sensor and the overall utilization of the bandwidth. These algorithms help in reducing the overhead in transmission and also provide better security. There are several proposals on Data aggregation schemes for WSN in which the intermediate node perform s in-network aggregation of sensor data. In this survey, drawbacks of tree-based data aggregation are highlighted and an improvised model has been proposed.

Last modified: 2014-10-29 00:47:10