Title: A New Clustering Technique for Energy Efficient Wireless Sensor Networks with Static Base Stations using SVD and DWT

Year of Publication: May - 2015
Page Numbers: 34-43
Authors: Mohammad V. Malakooti , Amir Aghasharif
Conference Name: The Second International Conference on Electrical and Electronics Engineering, Clean Energy and Green Computing (EEECEGC2015)
- Turkey

Abstract:


A Wireless Sensor Network (WSN) is a powerful network connected to the central locations or base stations via wireless communication to monitor the environment activities by collecting the information sensed from the small sensors or nodes with low power consumption.The collected data need to be transmitted to the static base station for the data manipulation, including storing and processing. Once the sensor nodes have collected the data from the environment it should be sent to the base station for the processing to obtain the feature of the environment and identify it activities. Since the levels of energy in the sensor nodes are limited the lifetime and activities of each sensor node must be carefully considered. One of the most effective methods that can be used to save the energy in WSN is the clustering techniques in which the sensor nodes with almost the same signal strength will be grouped as one cluster. We also choose one Cluster Head (CH) for each group and the sensor nodes collected data will be transmitted to its CH in which it will transmit all received data to the base stations for the processing. In this paper, we have proposed a new Clustering model using Static Base Stations (BSs). In addition we have applied two mathematical techniques, Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) to decrease the energy consumption of the sensor nodes and increase the network lifetime. Finally, to achieve the low data redundancy and to increase the accuracy of the collected data, once the clustering technique is applied, the correlation algorithm is applied.