scholarly journals Network Efficient Power Control for Wireless Communication Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-14
Author(s):  
Daniel U. Campos-Delgado ◽  
Jose Martin Luna-Rivera ◽  
C. J. Martinez-Sánchez ◽  
Carlos A. Gutierrez ◽  
J. L. Tecpanecatl-Xihuitl
Keyword(s):  
Power Control ◽  
Communication Systems ◽  
Wireless Communication Systems ◽  
Cross Layer ◽  
Outer Loop ◽  
Iterative Search ◽  
Network Characteristics ◽  
Cross Layer Optimization ◽  
Power Resources ◽  
Efficient Power

We introduce a two-loop power control that allows an efficient use of the overall power resources for commercial wireless networks based on cross-layer optimization. This approach maximizes the network’s utility in the outer-loop as a function of the averaged signal to interference-plus-noise ratio (SINR) by considering adaptively the changes in the network characteristics. For this purpose, the concavity property of the utility function was verified with respect to the SINR, and an iterative search was proposed with guaranteed convergence. In addition, the outer-loop is in charge of selecting the detector that minimizes the overall power consumption (transmission and detection). Next the inner-loop implements a feedback power control in order to achieve the optimal SINR in the transmissions despite channel variations and roundtrip delays. In our proposal, the utility maximization process and detector selection and feedback power control are decoupled problems, and as a result, these strategies are implemented at two different time scales in the two-loop framework. Simulation results show that substantial utility gains may be achieved by improving the power management in the wireless network.

An Energy Efficient Power Control Model for Wireless Communication Systems

2012 ◽  
Vol 246-247 ◽  
pp. 640-643
Author(s):  
Yang Liu
Keyword(s):  
Wireless Communication ◽  
Power Control ◽  
Energy Efficient ◽  
Communication Systems ◽  
Optimization Method ◽  
Control Model ◽  
Wireless Communication Systems ◽  
Cross Layer ◽  
Proposed Model ◽  
Efficient Power

In recent years, green computing which refers to maximize energy efficiency during the product's lifetime has attracted more and more concerns. How to use energy effectively in wireless communication systems is also an important issue. In this paper, we propose an energy efficient power control model for wireless communication systems. To control power consumption in wireless communication systems, we design a cross-layer optimization method by a cross layer optimizer which could collect status information from any protocol layer to make optimization decision and send parameter change request to the protocol layers. Experimental results illustrate the effectiveness of the proposed model.

scholarly journals Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-22 ◽  
Author(s):  
Haojun Teng ◽  
Xiao Liu ◽  
Anfeng Liu ◽  
Hailan Shen ◽  
Changqin Huang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Power Control ◽  
Adaptive Transmission ◽  
Reliable Data ◽  
Cross Layer ◽  
Transmission Power ◽  
Data Forwarding ◽  
Transmission Power Control ◽  
Cross Layer Optimization

In wireless sensor networks (WSNs), many applications require a high reliability for the sensing data forwarding to sink. Due to the lossy nature of wireless channels, achieving reliable communication through multihop forwarding can be very challenging. Broadcast technology is an effective way to improve the communication reliability so that the data can be received by multiple receiver nodes. As long as the data of any one of the receiver nodes is transmitted to the sink, the data can be transmitted successfully. In this paper, a cross-layer optimization protocol named Adaptive transmission Power control based Reliable data Forwarding (APRF) scheme by using broadcast technology is proposed to improve the reliability of network and reduce communication delay. The main contributions of this paper are as follows: (1) for general data aggregation sensor networks, through the theoretical analysis, the energy consumption characteristics of the network are obtained. (2) According to the case that the energy consumption of near-sink area is high and that in far-sink area is low, a cross-layer optimization method is adopted, which can effectively improve the data communication by increasing the transmission power of the remaining energy nodes. (3) Since the reliability of communication is improved by increasing the transmission power of the node, the number of retransmissions of the data packet is reduced, so that the delay of the packet reaching the sink node is reduced. The theoretical and experimental results show that, applying APRF scheme under initial transmission power of 0 dBm, although the lifetime dropped by 13.77%, delay could be reduced by 40.37%, network reliability could be reduced by 10.08%, and volume of data arriving at sink increased by 10.08% compared with retransmission-only mechanism.

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