An Efficient Routing Mechanism for Node Localization, Cluster Based Approach and Data Aggregation to Extend WSN Lifetime

The Last decade the demand for wireless communication has increased massively. Wireless Sensor Networks (WSN) have turned out as a potential solution for various real-time applications namely environmentalmonitoring, health and military applications. These networks follow the random placement strategy hence, identifyingthe location of sensor nodes is a tedious task. Moreover, these networks suffer from various issues such as limitedpower resources. This work, focusses on the sensor node localization and network lifetime enhancement of WirelessSensor Networks (WSN). In localization, security is an important issue, so a trust-based model to secure localizationis investigated in this work. Further, energy aware clustering and Cluster Head (CH) selection has been undertaken toprolong the lifetime of the network. Finally, a data aggregation model which decreases the network energy depletionby discarding the redundant data is presented. The outcome of the model which is proposed has been assessed andexpressed in the form of localization error, energy depletion and alive node. The comparative analysis shows that thelocalization error for varied anchor nodes is obtained as 1.51, 2.28, 2.52 and 1.25 using existing techniques DMA(Distance Mapping Algorithm), MDS-Map (Multidimensional Scaling), DV-Hop (Distance Vector-Hop) andProposed Approach, respectively. Similarly, the average energy consumption is obtained as 1.02, 1.67, 1.90 and 0.82using DMA (Distance Mapping Algorithm), MDS-Map (Multidimensional Scaling), DV-Hop (Distance Vector-Hop)and Proposed Hybrid Approach. The comparative analysis shows that proposed hybrid approach of localization, CH(Cluster Head) formation and aggregation attains better performance when compared with existing techniques inWSN(Wireless Sensor Networks) © 2022,International Journal of Intelligent Engineering and Systems. All Rights Reserved.