An Energy-Efficient Topology Control Mechanism for Wireless Sensor Networks Based on Transmit Power Adjustment

作者：Torkestani Javad Akbari^*

来源：Wireless Personal Communications, 2015, 82(4): 2537-2556.

DOI：10.1007/s11277-015-2363-9

• Transmission power
• Power adjustment
• Topology control
• WSN
• Learning automata

Adjusting the transmission power of the individual nodes has shown to be an effective topology control approach to improve the performance and to prolong the lifetime of the wireless sensor networks. In this approach, each sensor node dynamically adjusts its radio transmission range to keep the network connected and to reduce the power consumption during transmission as much as possible. In this paper, a learning automata-based method is proposed to adjust the transmit power of the sensor nodes aiming at controlling the network topology. In the proposed method, each node is equipped with a learning automaton, and range of transmission power of the node is defined as the action-set of a continuous automaton. At each stage, depending on the network condition, the learning automaton selects the transmit power consuming the minimum possible power and keeping the network connected. A strong theorem is presented to show the convergence of the proposed method. To show the performance of the proposed method, several simulation experiments are conducted. The obtained results show the superiority of the proposed approach over the existing ones in terms of the transmit power, normalized Signal-to-noise-ratio, control message overhead, and average residual energy level.

• 出版日期2015-6