A self-organized priority-based MAC protocol in wireless sensor networks based on SDR-RHSO optimal relay node selection and HL-ANN wake-up scheduling

Abstract

A budding technology that possesses an extensive range of potential applications comprising environmental monitoring, medical systems, smart spaces, along with robotic exploration is a wireless sensor network (WSN). Medium Access Control (MAC) is a vital technique that evades collisions such that two interfering nodes do not transfer simultaneously for the WSN’s successful operation. However, owing to high energy consumption (EC), non-scalability, Delay, etc., designing an effective MAC protocol for WSN is a complex task. An efficient self-organized MAC protocol in WSN is formed by the work for conquering the issue. Utilizing Linear Scaling centered Social Spider Optimization Algorithm (LS-SSOA), the work is initiated with optimal cluster head (CH) selection under the Mahalanobis Distance centered K-Means Clustering (MD-KMC) technique, which extends the network lifetime (NLT) along with the stability of WSN. Afterward, an optimal relay node (RN) selection is created using Swap Displacement and Reverse-Based Rock Hyraxes Swarm Optimization (SDR-RHSO) for minimizing the energy loss throughout data transmission from sensor node (SN) to CH. Lastly, by identifying the active nodes and non-active nodes using Hebbian Learning-centered Artificial Neural Network (HL-ANN), a wake-up scheduling is performed betwixt the nodes that decrease the extra EC along with delay. A better network lifetime, lower energy consumption, higher throughput value, and accurate wake-up scheduling is attained by the work as exhibited by the experimental analysis and stays effective as analogized to the existing top-notch method.