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Data Aware Aggregation Technique for Environmental Monitoring in Wireless Sensor Networks


Affiliations
1 Embedded System, School of computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India
2 CSE, School of computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India
 

Objectives: In WSN, several sensor nodes are used which having sensing and communication capabilities. It considers energy awareness as essential. Methods: In this method, using average data aggregation can be effectively reduced the energy consuming. Each device node used to sense the information about environmental conditions and finally data will be sent to the destination. In this proposed work, it generates the similar data by recognizing sensors which are in the similar location using Average Data Aggregation and send it to the destination. Finding: In this result, other than showing average aggregated value for similar data in case of any abnormal environmental condition it directly shows such abnormal reading in the base station. Improvements/Applications: Therefore, it eliminates redundant data and minimizes the data transmission and performs load balancing.

Keywords

Data aggregation, Nodes, Sensors, Wireless Sensor Network.
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  • Data Aware Aggregation Technique for Environmental Monitoring in Wireless Sensor Networks

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Authors

R. Sharmila
Embedded System, School of computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India
R. Thanuja
CSE, School of computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India
A. Umamakeswari
CSE, School of computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India

Abstract


Objectives: In WSN, several sensor nodes are used which having sensing and communication capabilities. It considers energy awareness as essential. Methods: In this method, using average data aggregation can be effectively reduced the energy consuming. Each device node used to sense the information about environmental conditions and finally data will be sent to the destination. In this proposed work, it generates the similar data by recognizing sensors which are in the similar location using Average Data Aggregation and send it to the destination. Finding: In this result, other than showing average aggregated value for similar data in case of any abnormal environmental condition it directly shows such abnormal reading in the base station. Improvements/Applications: Therefore, it eliminates redundant data and minimizes the data transmission and performs load balancing.

Keywords


Data aggregation, Nodes, Sensors, Wireless Sensor Network.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i48%2F139147