Data Aggregation using Probability Theory for Wireless Sensor Networks

Provided by: International Journal of Engineering and Technology
Topic: Mobility
Format: PDF
Wireless Sensor Networks (WSN), generally consists of nodes capable of sensing, processing and transmitting of data, detect and tracks the required information. Recent advances in digital electronics and wireless communication have led to the emergence of WSN's. In WSN for monitoring/obtaining some information, the geographically distributed sensor nodes can cooperate with each other to improve the performance of data processing. The position of the various nodes in a network can be distributed or hierarchical. The nodes may possess same or different characteristics. The main objective of this paper is to develop aggregation techniques suited for all varied conditions as well as overcoming the real time issues. This paper develops a mathematical approach using probability functions and distances to restore the data.

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