Compressive network coding based mobile data gathering technique for Wireless Sensor Networks

WSN consists of a large number of sensor nodes that monitor environmental conditions in a given geographic area. In many of the previous approaches, they have not considered the distance or the hop count during data gathering. This paper proposes the centralized algorithm that places the polling poi...

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Bibliographic Details
Published in2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies pp. 951 - 957
Main Authors Palani, U., Alamelu Mangai, V., Nachiappan, Alamelu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
Area measurement
Compressive Network Coding (CNC)
Computer numerical control
Encoding
Mobile data Collector
Network coding
Numerical models
Polling Points (PP)
Relay hop
Shortest Path tree (SPT)
Wireless communication
Wireless Sensor Network
Wireless sensor networks
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Summary:WSN consists of a large number of sensor nodes that monitor environmental conditions in a given geographic area. In many of the previous approaches, they have not considered the distance or the hop count during data gathering. This paper proposes the centralized algorithm that places the polling points (PPs) on the shortest path. The shortest path has been obtained through which the data is traversed. The subset of sensors will be selected as polling points that buffer locally aggregated data and upload the data to the mobile collector when it arrives. Then data compression is taking place using compressive Network Coding approach. By simulation results, it is observed that the proposed technique minimizes the energy consumption and delay there by increasing the packet delivery ratio.
DOI:10.1109/ICACCCT.2014.7019234