Distributed PCA and consensus based energy efficient routing protocol for WSNs

Routing protocols with consensus approaches are extensively used for realizing distributed algorithms and have recently found many applications along with use of principal component analysis (PCA). Their vigorous implementation to increase network performance in wireless sensor networks (WSNs) is of extreme significance. In this work, we present our proposed novel routing algorithm; M-BEHZAD, to maximize system performance, stability period and throughput of nodes deployed in a remote field. Distributed principal component analysis (DPCA) based threshold aware communication and fixed clustering method have been used. Selection of cluster heads (CHs) and division of observation field make our proposed scheme more robust. Mathematical representation of the coverage model and 3-Tier communication design for reducing transmission distance is implemented. This ultimately results in improved system performance and considerably minimizes the coverage and energy holes leading to extended lifespan. Comprehensive simulations results are presented validating the applicability of our approach.