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Dynamic Power Control Clustering Wireless Sensor Networks based on Multi-Packet Reception.


Affiliations
1 School of Electronics Engineering, VIT University, Vellore, India
 

Objectives: A new method of cluster head election based on Energy Evaluation Factor (EEF) using multi-packet reception technology is proposed in clustering the Wireless Sensor Networks (WSN) to improve the performance and makes the network efficient and increases lifespan of the network. Methods: First EEF is calculated initially for clustering the WSN, the transmission power ranges of the CH elected in each group is calculated and adjusted considering the count of Cluster Head (CH) in elected in the area of interest as second, and thirdly we determine the distance from the sink to CH and its residual energy to implement interference cancellation algorithm in sink using transmission power levels. Findings: Simulation results show that this power control strategy can reduce the energy consumption of sensor nodes and increase network throughput, which can greatly improve network lifetime. Improvements: The authors believe that their findings will be useful guidelines for moving forward with successive interference cancellation research in WSNs.

Keywords

Cluster Head (CH), Multi-Packet Reception (MPR), Signal to Interference Noise Ratio (SINR), Successive Interference Cancellation (SIC).
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  • Dynamic Power Control Clustering Wireless Sensor Networks based on Multi-Packet Reception.

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Authors

P. Sasikumar
School of Electronics Engineering, VIT University, Vellore, India
Shilpa
School of Electronics Engineering, VIT University, Vellore, India

Abstract


Objectives: A new method of cluster head election based on Energy Evaluation Factor (EEF) using multi-packet reception technology is proposed in clustering the Wireless Sensor Networks (WSN) to improve the performance and makes the network efficient and increases lifespan of the network. Methods: First EEF is calculated initially for clustering the WSN, the transmission power ranges of the CH elected in each group is calculated and adjusted considering the count of Cluster Head (CH) in elected in the area of interest as second, and thirdly we determine the distance from the sink to CH and its residual energy to implement interference cancellation algorithm in sink using transmission power levels. Findings: Simulation results show that this power control strategy can reduce the energy consumption of sensor nodes and increase network throughput, which can greatly improve network lifetime. Improvements: The authors believe that their findings will be useful guidelines for moving forward with successive interference cancellation research in WSNs.

Keywords


Cluster Head (CH), Multi-Packet Reception (MPR), Signal to Interference Noise Ratio (SINR), Successive Interference Cancellation (SIC).



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i37%2F126667