A Transmission Power Control Mechanism for 802.15.4+RPL-Operated Wireless Sensor Network

2020 ◽  
Vol 10 (2) ◽  
pp. 197-206
Author(s):  
Ali Qolami ◽  
Mohammad Nassiri ◽  
Hatam Abdoli
Keyword(s):  
Power Control ◽  
Network Lifetime ◽  
Control Method ◽  
Power Level ◽  
Link Quality ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Control Mechanisms ◽  
Transmission Power ◽  
Transmission Power Control

Background and Objective: Wireless Sensor Networks (WSNs) are typically formed by one or more sink nodes and a large number of sensor nodes that are able to sense, process and transmit data. Topology control mechanisms can be utilized to guarantee requirements such as connectivity, coverage, delay and network lifetime in WSNs. One effective way to control the topology is adjusting transmission power level in each node according to the link quality conditions. The goal of Transmission Power Control (TPC) is to set the transmission range of each node by adjusting its transmission power level. Methods: In this paper, we investigate TPC in 802.15.4+RPL WSNs. In our proposed mechanism, each node dynamically adjusts its transmission power based on channel conditions before sending every data and ACK packet. Result and Conclusion: The results of extensive simulations confirm that our power control method improves network performance, especially in terms of network lifetime, which is an essential issue in WSNs.

Model-Based Adaptive Transmission Power Control (MATPoC) for Wireless Sensor Networks in Fading Environment

2017 ◽  
Vol 26 (09) ◽  
pp. 1750143 ◽  
Author(s):  
Muhammad-Yasir M. Mirza ◽  
Ghufran Ahmed ◽  
Noor M. Khan
Keyword(s):  
Power Control ◽  
Radio Signal ◽  
Control Strategies ◽  
Power Level ◽  
Wireless Sensor ◽  
Time Varying ◽  
Transmission Power ◽  
Transmission Power Control ◽  
Novel Technique ◽  
Interference Minimization

Transmission power control is the strategy in which a sensor node transmits at a lowest possible power level to maintain an error-free transmission being in dynamic multi-path fading environment, ensuring energy efficiency and interference minimization. In this paper, we propose a novel technique for power control while considering a realistic radio fading environment. The proposed technique is based on Kalman filter that iteratively estimates and predicts the upcoming received radio signal strength indicator (RSSI) values. Theoretical analysis and simulation results are given that show the better performance of the proposed methodology in comparison to existing power control strategies in time-varying fading propagation environment.

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