Energy-Efficient Intelligent Ant Colony Optimization for Route Detection in Healthcare Using Wireless Body Sensor Networks

Abstract Delay in the transmission of patient data is a major issue in healthcare for both patients and end-users with the use of static sink nodes in Wireless Body Sensor Networks (WBSNs). Reduction in the network lifetime, early death of sensor nodes, and hot spot problems are the main issues in healthcare data transmission. A body sensor node (BSN) collects the real time data therefore agile approaches must be adopted. Data collecting efficiency can be increased with mobile sinks. In WBSN, an artificial intelligence-based approach for route selection in healthcare plays a significant role in delay sensitive scenarios. An Intelligent Ant Colony Optimization based route detection (IACO-RD) is proposed to overcome the aforementioned issues. The performance is verified through the simulation and the result is compared with previous works. The simulation result shows the proposed algorithm performance that considerably enhances the lifetime of network, lifespan of sensor nodes, and reduces the data loss.