Abstract
Wireless sensor networks use many types of wireless sensors to configure network. However batteries in wireless sensor nodes are energy limited and consume considerable energy for data transmission. Therefore, data merging is used as a means to increase energy efficiency in data transmission. In this paper, we propose Differential Data Processing (DDP), which reduces the size of data transmitted from the sensor node to increase the energy efficiency of the wireless sensor network. Experimental results show that processing the differential temperature data reduces the average data size of the sensor node by 30%.
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CITATION STYLE
Lim, K. K., Park, J. S., Lee, B. R., & Shon, J. G. (2020). Differential Data Processing for Energy Efficiency of Wireless Sensor Networks. In Lecture Notes in Electrical Engineering (Vol. 536 LNEE, pp. 147–152). Springer. https://doi.org/10.1007/978-981-13-9341-9_25
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