Energy Conservation in Wireless Sensor Networks by Exploiting Inter-Node Data Similarity Metrics
Sunil Dhimal, Kalpana Sharma · International Journal of Energy Information and Communications · 2015
Wireless Sensor Networks (WSN) is the collection of large number of low powered sensor nodes deployed for sensing & monitoring real world physical phenomenon like temperature, humidity, soil moisture, pressure, etc. Due to low powered battery and unattended deployment of sensor nodes, conserving sensor node energy requirement is one of the prime challenges in WSN.Satisfactory coverage of sensing area requires sensor nodes to be deployed densely which causes the real time observation to be associated spatially or temporally.Due to such dense deployment, there may be a situation where in more than one sensor node captures and communicates the same physical phenomenon which hints that data aware energy conservation technique may be applied in order to reduce the overall power requirement of the network.In this paper, a model is proposed to conserve overall energy by exploiting inter-node data association.In order to achieve this, real time wireless sensor network scenario is deployed and spatially and temporally associated sensor node data is acquired for further analysis.The inter-node data similarity is then measured by calculating similarity metrics like -Euclidean Distance, Cosine similarity and Pearson correlation coefficient.Finally, energy conservation technique is applied if the similarity metrics suggests high correlation between sensor nodes data.