Author : Mrs Shalini.K.V 1
Date of Publication :7th November 2016
Abstract: Of Wireless Sensor Networks (WSNs) is used in many applications for precise monitoring. These networks contain high density nodes which lead to redundant data while sensing an event. The key issue in WSNs is energy conservation. Data fusion and aggregation is utilized to save energy. The size and number of exchanged messages is reduced by aggregating the redundant data at intermediate nodes. This will decrease energy consumption and communication costs. In this work, a novel DRINA (Data Routing for In-Network Aggregation) is proposed. It contains some key aspects like depleted number of messages for setting up a routing tree, maximized number of super-imposed routes, high aggregation rate, and reliable data aggregation and transmission. The proposed DRINA algorithm is compared with two other known interpretations: the Information Fusion-based Role Assignment (In FRA) and Shortest Path Tree (SPT) algorithms. The outcome of the system clearly denote that the routing tree built by DRINA yield the best aggregation quality in contrast to other algorithms in unconventional situations and in different key aspects required by WSNs.
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