원문정보
초록
영어
Wireless sensor networks (WSNs) has gained more and more popularity in the field of intensive meteorological observation. Generally, each existing sensor node is a constrained device with restricted computation capability, and limited energy resources. The effective communication range of existing sensor nodes is unable to meet our requirements. In this paper, we present an improved system architecture of wireless sensor node that is capable of meeting the strict requirements of intensive meteorological observation systems. We add a solar power supply module to replenish node energy and adopt a network processor and a data acquisition processor collaborating with each other to improve the computation and computation capacity. Furthermore, we designed a dual-band data transmission mechanism so as to adapt to requirements of different transmission distances. Our tests have indicated that using solar power can fulfill a node’s energy demand; whereas the design on computing and computing can dynamically meet the specific requirements of different applications. Moreover, our nodes is compatible with a variety of digital and analog sensor signal types, so it can be connected to various professional meteorological sensors directly. In addition, the communication distance of the node is significantly improved, which can reach more than 2000 meters in an open environment and 1000 meters with building obstruction or slight signal interference.
목차
1. Introduction
2. The Design of Hardware Circuit
2.1. The Design of Meteorological Sensor Node
2.2. ATmega128L connect with 2.4GHz [14]
2.3 ATMega128L is connected with 915MHz
3. Software Design
3.1. The Data Collecting Design of NANO130
3.2. The Design of a 915MHz ISM Band Transmission Module
3.3. The Design of a 2.4GHz ISM Band Transmission Module
4. Performance Test
4.1. The Solar Power Test
4.2. The Work Ability Test of the Node’s Dual-processor
4.3. The Test of Node’s Signal Type
4.4. The Communication Distance Test of 915MHz and 2.4GHz Dual-band Data Transmission
5. Conclusions and Future Work
Acknowledgements
References
