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Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 4)

Publication Date:

Authors : ; ;

Page : 1356-1363

Keywords : wireless sensor networks (WSN); multipath; data fusion; lifting scheme wavelet transform; round robin;

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A wireless sensor network consists of distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. In the wireless sensor network energy consumption is one of the important concerns. In order to bring energy efficiency in WSNs an energy-aware sensor node is implemented. The objective of the energy efficient strategy is reducing the energy consumption from both the sensor node level and the network level in a WSN. In the sensor node to decrease the communication energy consumption, the distance between the transmitter and the receiver is predicted before available transmission, and then, the lowest transmission power needed to transmit the measurement data is calculated and determined. In addition to that the sensor nodes are also set to sleep mode between two consecutive measurements for saving the energy. By using this concept we improve the energy efficiency in the wireless sensor networks. Further to improve the energy-saving we introduce an innovative technique which combines energy efficiency and multiple path selection for data fusion in WSN. The network is divided into various clusters and the node with highest residual energy is chosen as the cluster head. For each cluster head the sink computes multiple paths for data transmission. In the cluster head the data from the sensor is compressed by using the distributed source coding and the lifting scheme wavelet transform method. To save the energy for each round of transmission the path is changed in a round robin manner. By utilizing this method, we achieve less energy consumption with increased packet delivery ratio.

Last modified: 2014-05-03 00:59:25