Estimate Health Condition of Power Supply at Base-station Sites Based on Alarm Data

Author(s):  
Min Hu ◽  
Hongyun Zheng ◽  
Weiwei Wang ◽  
Yuchun Guo
Author(s):  
Kailash Subramanian

Wireless Sensor Networks motes have a small size, which leads to severe power supply restrictions. Much of the work on conserving power has been undertaken in the domain of routing protocols which deals with sending data in an efficient manner. In this paper a new scalar based protocol is proposed with a combination of multiple sub-base stations, that seeks to enhance the efficiency of protocol in terms of consumption of power and node failure tolerance. All the nodes are divided into regions, with each region having a sub- base station(sBS) and an arbitrary scalar value. Each sBS has lesser power supply and computation power compared to main station, but more of the mentioned metrics with respect to the sensor motes. Previous studies have described various paradigms and metrics for routing protocols and the placement of base stations. In this paper, the said algorithm is proposed, and its efficiency is analysed.


2021 ◽  
Author(s):  
Ritchinder R. S. Samrai

This project is concerned with the application of the ZigBee communication standard for implementing a temperature measurement system. Due to ZigBee's low-power and low data rate features, it is ideal for analog sensor systems. Digi's ZigBee devices called XBee are used in this project. The XBee devices meet all the ZigBee standard. The XBee device has the advantage of being programmed with API firmware (application programming interface). XBee's API provides fast and reliable communication between the remote stations and the base station. The remote station has three different modules: power supply, temperature sensor and XBee device. The power supply is designed to output 3.3V. The temperature sensor is designed so that the output stays within the XBee's maximum analog input voltage range of 0V to 1.2V. The XBee device is programmed as a router. The base station has three different modules: Arduino microcontroller, LCD display and XBee device. The Arduino is programmed to receive the analog readings from the XBee device and convert them into temperature readings The temperature readings are displayed on the LCD display. The XBee device is programmed as a coordinator. The design successfully worked for 3 remote stations and 1 base station.


2014 ◽  
Vol 989-994 ◽  
pp. 2778-2781
Author(s):  
Hong Ma

With the rapid development of economy, the consumption of energy increasing year by year, the conventional energy is facing increasingly draining.The wind and light power supply system controller in the mobile base stations is a kind of power supply management system,used the wind and light, which have the biggest and the most development potential renewable energy and new energy technology at present.That especially suitable for mobile communication base station,and remote sensing, remote control base station power supply and operation environment. The controller can reduce run maintenance cost, improving the quality of communication and system management level,and the efficiency of the whole.


2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Peng Yu ◽  
Lei Feng ◽  
Wenjing Li ◽  
Xuesong Qiu

Aiming at the lack of integrated energy-saving (ES) methods based on hybrid energy supplies in LTE heterogeneous networks, a novel ES management mechanism considering hybrid energy supplies and self-organized network (SON) is proposed. The mechanism firstly constructs ES optimization model with hybrid energy supplies. And then a SON framework is proposed to resolve the model under practical networks. According to the framework, we divide the ES problem into four stages, which are traffic variation prediction, regional Base Station (BS) mode determination, BS-user association, and power supply. And four corresponding low-complexity algorithms are proposed to resolve them. Simulations are taken on under LTE underlay heterogeneous networks. Compared with other algorithms, results show that our mechanism can save 47.4% energy consumption of the network, while keeping coverage, interference, and service quality above acceptable levels, which takes on great green-economy significance.


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