Abstract
An effective transmission power control (TPC) method is proposed and demonstrated, in which an appropriate active margin is directly applied rather than a step-by-step margin as in the conventional TPC method. Active-margin transmission power control (AM-TPC) is based on an algorithm that selects an optimized transmission power by considering the channel conditions in mobile environments. For obtaining the optimal transmission power, effective minimum detectable signal (EMDS) has been introduced which considers the change both in the channel noise and in the path loss (PL) dispersion caused by multipath fading. The transmission power is determined by the EMDS and active margin to improve the efficiency of the communication. The AM-TPC improves the reliability and reduces the power consumption, because it prevents unnecessary retransmission by reducing the number of error packets. By using the AM-TPC in mobile environments, we have experimentally obtained 28.3% reduction in current consumption when compared with using maximum power transmission.
Highlights
Wireless sensor networks (WSNs) are widely used in many applications such as for supporting military surveillance, emergency response, environmental monitoring, and scientific exploration
We propose an active-margin transmission power control (AM-Transmission power control (TPC)) algorithm using effective minimum detectable signal (EMDS) to achieve short stabilization time as well as reliability in mobile environments
We evaluate the performance of the proposed method using the Active-margin transmission power control (AM-TPC) algorithm
Summary
Wireless sensor networks (WSNs) are widely used in many applications such as for supporting military surveillance, emergency response, environmental monitoring, and scientific exploration. The reliability can be improved by transmitting packets at the maximum transmission power; this condition causes unnecessary high energy consumption. Transmission power control (TPC) algorithm is one of the methods to reduce the energy consumption with satisfactory reliability. WSNs use the SBS method, which has excellent stability by assuming fixed nodes. In the case of the SBS control, the transmission power is sequentially increased according to the minimum detectable signal at the receiver. TPC using direct control method has short stabilization time because it calculates the transmission power on the basis of the sensitivity and channel loss in every packet. The previous TPC algorithms do not consider the wireless channel characteristics under moving condition, and thereby their performances are not satisfactory for real-time WSNs
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