At present, the major drawback for mobile phones is the issue of power consumption. As one of the alternatives to decrease the power consumption of standard, power-hungry location-based services usually require the kn...At present, the major drawback for mobile phones is the issue of power consumption. As one of the alternatives to decrease the power consumption of standard, power-hungry location-based services usually require the knowledge of how individual phone features consume power. A typical phone feature is that the applications related to multimedia streaming utilize more power while receiving, processing, and displaying the multimedia contents, thus contributing to the increased power consumption. There is a growing concern that current battery modules have limited capability in fulfilling the long-term energy need for the progress on the mobile phone because of increasing power consumption during multimedia streaming processes. Considering this, in this paper, we provide an offline meaning sleep-mode method to compute the minimum power consumption comparing with the power-on solution to save power by implementing energy rate adaptation(RA) mechanism based on mobile excess energy level purpose to save battery power use. Our simulation results show that our RA method preserves efficient power while achieving better throughput compared with the mechanism without rate adaptation(WRA).展开更多
Novel enabling technologies from physical layer to Medium Access Control (MAC) layer are proposed to provide energy efficient Radio-over-Fiber (RoF) Distributed Antenna System (DAS) based Wireless Sensor Networks (WSN...Novel enabling technologies from physical layer to Medium Access Control (MAC) layer are proposed to provide energy efficient Radio-over-Fiber (RoF) Distributed Antenna System (DAS) based Wireless Sensor Networks (WSN). The power consumption performance of the network is evaluated in terms of the total network power consumption based on the proposed power consumption models from the physical layer. The results illustrate that for a given power consumption value, the tradeoff among the number of Remote Access Units (RAUs), the number of Multiple-Input Multiple-Output (MIMO) antennas and the number of hops must be taken into account. In order to efficiently reduce the total network power consumption, we also proposed a solution from the MAC layer using a sleep-aware MAC protocol, which can dynamically centralized control MIMO antennas to operate in a sleep mode. The proposed enabling technologies provide basis for selecting suitable RoF DAS based WSN and effectively reduce the power consumption.展开更多
基金supported by X-Project funded by the Ministry of Science,ICT&Future Planning under Grant No.NRF-2015R1A2A1A16074929
文摘At present, the major drawback for mobile phones is the issue of power consumption. As one of the alternatives to decrease the power consumption of standard, power-hungry location-based services usually require the knowledge of how individual phone features consume power. A typical phone feature is that the applications related to multimedia streaming utilize more power while receiving, processing, and displaying the multimedia contents, thus contributing to the increased power consumption. There is a growing concern that current battery modules have limited capability in fulfilling the long-term energy need for the progress on the mobile phone because of increasing power consumption during multimedia streaming processes. Considering this, in this paper, we provide an offline meaning sleep-mode method to compute the minimum power consumption comparing with the power-on solution to save power by implementing energy rate adaptation(RA) mechanism based on mobile excess energy level purpose to save battery power use. Our simulation results show that our RA method preserves efficient power while achieving better throughput compared with the mechanism without rate adaptation(WRA).
基金supported in part by National Key Basic Research Program of China (973 Program) under Grant No.2012CB315705National Hi-Tech Research and Development Program of China under Grant No.2011AA010306+2 种基金National Natural Science Foundation of China under Grant No.60932004, 61001121, 61107058 and 61120106001Beijing Excellent Doctoral Thesis Project under Grant No.YB20101001301the Cooperation Project between Province and Ministries under Grant No.2010B090400112
文摘Novel enabling technologies from physical layer to Medium Access Control (MAC) layer are proposed to provide energy efficient Radio-over-Fiber (RoF) Distributed Antenna System (DAS) based Wireless Sensor Networks (WSN). The power consumption performance of the network is evaluated in terms of the total network power consumption based on the proposed power consumption models from the physical layer. The results illustrate that for a given power consumption value, the tradeoff among the number of Remote Access Units (RAUs), the number of Multiple-Input Multiple-Output (MIMO) antennas and the number of hops must be taken into account. In order to efficiently reduce the total network power consumption, we also proposed a solution from the MAC layer using a sleep-aware MAC protocol, which can dynamically centralized control MIMO antennas to operate in a sleep mode. The proposed enabling technologies provide basis for selecting suitable RoF DAS based WSN and effectively reduce the power consumption.
