A Novel Quantum Beetle Swarm Optimization based Route Selection and Hybrid Data Transmission in Wireless Sensor Networks

Abstract

Energy efficiency remains a major issue in the design of wireless sensor networks (WSN). Earlier studies reported that the routing techniques can be employed to reduce energy consumption and lengthen the lifetime of WSN. Numerous routing techniques with dissimilarfeaturesareproposed in the literature to design an energy-efficient WSN. This paper presents a novel quantum beetle swarm optimization based route selection and hybrid data transmission (QBSOR-HDT) protocol for WSN. The BSO algorithm is presented to enhance the effectiveness of the swarm optimization by the foraging principle of beetles. The presented model chooses the possible routes to destination based on the fitness function involving residual energy, distance to base station (BS), and node degree. Besides, the presented model follows hybrid data transmission process where the data is transmitted at periodic time duration and reactive way. Moreover, a thresholding mechanism is applied for reactive data transmission. This process helps to balance the load properly and thereby achieves energy efficiency. In order to validate the performance of the QBSOR-HDT protocol, extensive set of experimentations were carried out. The experimental values ensured the energy efficiency and network lifetime performance of the QBSOR-HDT protocol under different numbers of nodes.