H-MOCNA: Hierarchical Multi-Objective Composite Navigating Algorithm in Wireless Sensor Networks for Portable Devices

Focusing on cluster-based portable wireless sensor networks (CPWSN) may be a good idea for researchers. The sole reason CPWSN has been used in practical applications is due to the accessibility of low-cost Sensor nodes. For the past 10 years, the majority of academics apprehended the belief that WSNs were composed of uniform, stationary sensor nodes. As a result of the sensor nodes are heterogeneity and mobility, new energy-efficient solutions are needed to extend the lifetime of the network. We have introduced the Hierarchical Multi-Objective Composite Navigating technique (H-MOCNA), a brand-new MWSN routing technique. H-MOCNA uses hierarchical clustering. By using a pricing mechanism created on several systems of measurement, such as Mean Resource Utilization, regulation Overhead, Respond Period, Linking Reliability Measure, as well as HOPs, data packets are routed to the sink by H-MOCNA. The authors examine the implications of sensor node flexibility and power variety in H-MOCNA. The recreation’s results show how effective H-MOCNA is. H-MOCNA was used to imitate and contrast DyMORA, SHRP and EEHC. H-MOCNA reduces the mean energy usage by 7.06%, 8.34%, respectively, when compared to DyMORA, SHRP and EEHC. In regards to Packet Delivery Ratio (PDR), H-MOCNA performs better than SHRP, EEHC and DyMORA through 9.50% 8.62% than 7.9%, correspondingly.