Tree-Based Fixed Data Transmission for Healthcare Sensor Networks

The ability to obtain health-related information at any time through the use of sensor network technology for healthcare instead of taking measures after becoming ill can greatly improve an individual’s life. The processing of healthcare sensor data requires effective studies on inter-node transmission in the sensor network and collective data processing. This paper introduces asynchronously operating data transmission with a fixed number of transmission data (fixed data transmission) on trees and evaluates the execution times of fixed data transmission and level data transmission. Tree-based fixed data transmission can continue transmission operations with an average number of data at either a shallow-level edge or deep-level edge. Level data transmission, on the other hand, begins data transmission from edges near leaves and transmits a large number of integrated data at a level near the root. The execution time of fixed data transmission on a complete binary tree with a maximum number of transmission data of 2 is equivalent to or smaller than the execution time of level data transmission, and as the number of nodes increases, fixed data transmission approaches a value 1.5 times faster than level data transmission.