Design of Self-organized Wireless Sensor Network Using Adaptive Scalable Nodes

The emerging growth of 5G technology adopted various benefits for the sake of consumers in order to provide uninterrupted services with high quality of service (QoS) and quality of experience (QoE). The basic building block of network starts from tuning the network organization and management. The trouble in organizing the large network nodes, that lose the grip on handling the data overhead, increased path delay and loss of nodes are considered as the important issue. Self adjusting networks are interesting area of research provides the scope of implementing the proposed Self organized mapping model (SOMP) with improved structure. The suggested system is built utilizing a protocol called Self Organized Mapping (SOMP), which incorporates a sorting approach for nodes based on the Dijkstra model (DA) and a technique called adaptive node scaling (ANS). The proposed SOMP enabled wireless sensor network (WSN) simulated with MATLAB tool. The SOMP model with reduced path delay and uninterrupted data communication is achieved here with average of 1 dead node within 1000 rounds of iterations. The gradual reduction of residual energy achieved with 4xjoules. The comparison of linear clustering and adaptive clustering through SOMP model is discussed with parametric comparisons.