Author(s)

K. Anna Raja¹, L. R. Karlmarx²

¹Department of Electrical and Electronics, PTR College of Engineering and Technology, Madurai, India.
²Department of Electronics and communication, Thiagarajar College of Engineering, Madurai, India.

Large scale dense Wireless Sensor Networks (WSNs) have been progressively employed for different classes of applications for the resolve of precise monitoring. As a result of high density of nodes, both spatially and temporally correlated information can be detected by several nodes. Hence, energy can be saved which is a major aspect of these networks. Moreover, by using these advantages of correlations, communication and data exchange can be reduced. In this paper, a novel algorithm that selects the data based on their contextual importance is proposed. The data, which are contextually important, are only transmitted to the upper layer and the remains are ignored. In this way, the proposed method achieves significant data reduction and in turn improves the energy conservation of data gathering.

Wireless Sensor Network, Energy Efficiency, Data Reduction, Temporal Correlation

Raja, K. and Karlmarx, L. (2016) Information Driven Data Gathering for Energy Efficient Wireless Sensor Network. Circuits and Systems, 7, 3886-3895. doi: 10.4236/cs.2016.711324.