Design And Energy-saving Research Of JN5148-based WSN Platform

With further study on theoretical research of wireless sensor network (WSN) and the development of new technologies, the potential research value of wireless sensor networks has attracted the attention of researchers and enterprises in different fields, including these ones in industrial control and environmental monitoring. ZigBee-based wireless sensor network is more mature one which is supported by many enterprises. They have introduced many products and solutions. But the range of most ZigBee-based WSN platform is very short, about a distance of 100m, limiting its applications in large area monitoring. Thereby, increasing the scope of network monitoring has become a more meaningful engineering project.Increasing the transmission power of the radio unit can effectively enlarge the communication range, but it will also cut down the work life of the nodes because of more energy consumption. A new platform based on high-power JN5148 ZigBee module was designed in this paper to extend the scope of the network, including hardware design, applications and display interface, as well as its energy-saving research. The energy conservation is solved from two aspects:"adding income" and "reducing expenditure" in this paper. On the one hand solar power was taken to supplement energy loss, on the other hand two approaches-hardware design and transmission strategy-were adopted to reduce the power consumption.The transmission strategy made the nodes upload their data one by one in order to decrease the idle/receive time and data collisions.Experiments showed that the improved energy-saving transmission strategy reduced the energy consumption by 17.3% less then the conventional method.In addition, a detaild performance tests of the node were also given in the paper consisting of communication range testing, power supply unit efficiency and stability testing and data transmission power testing. A detailed analysis was implemented on the current in the process of data transmission and a transmission energy model was established to evaluate the node power consumption as well. Researchers could take the model to estimate power consumption during communication and accurately predict the lifetime of the node. This approach makes nodes take full advantage of energy and feedback to the network in time before its death, which can accurately predict the lifetime of the node, and can improve the network's adaptability.