Sleep Mode Strategy For Energy Optimization In Weather Station


  • Prashant Dattatraya Sarawade Government Polytechnic, Karad, Satara, Maharashtra-415124


Wireless sensor Network,Qualityof Service, Energy Optimization etc.


The main difficulty in sensor networks is energy optimization. In naval research applications, sensors are installed in remote locations. These sensors use solar energy or DC power from charged batteries. However, the solar energy is inadequate during night and it is not practical to replace or reuse the batteries for such distant sensor nodes. This work makes an effort to conserve energy for the sensors connected to each node in such applications. The master request and slave response form of communication is accomplished using the Zigbee protocol. The system is composed of 'n' slaves, each following a single master. As every slave is within range, the master initiates communication with the slaves in the range, the communication frame from the master contains the slave ID. The sensors with analogue circuits connected to the specific microcontroller turn ON and begin further processing as soon as the slave ID matches. On demand sleep mode solution lower system power usage since the sensors connected to the nodes wake up. This paper presents a design of a zigbee-based weather station that minimizes the power of the sensors connected to each node while taking their battery-operated nature into account. Thus, the overall node energy is decreased. The power consumption of the analogue sensor circuit is
lowered by up to 80% when the scheduling time is extended. GSM or RF modules can be used to create systems for long-distance applications.




How to Cite

Prashant Dattatraya Sarawade. (2023). Sleep Mode Strategy For Energy Optimization In Weather Station. Chinese Journal of Computational Mechanics, (5), 180–187. Retrieved from