A Novel Quantum Chimp Optimization with DNA Sequence Based Multihop Secure Routing Protocol for Wireless Sensor Networks

A wireless sensor network is comprised of a large number of sensors that are frequently used for data collection and tracking applications. When nodes are deployed in inaccessible places, energy efficiency becomes critical, which routing protocols can address. Because data transmission occurs across wireless networks, security continues to be a challenge in WSN. Recently, DNA computing has been found to be beneficial in enhancing the security of data or networks. Additionally, trust management is critical for developing an ideal and secure relay node for effective data transfer. This paper introduces a novel Quantum Chimp Optimization with DNA Sequence-based Multihop Secure Routing (QCODNAS-MSR) protocol for WSNs in this regard. The QCODNAS-MSR protocol combines QCO design with a DNA sequence technique for route selection, efficiently balancing real-time and non-real-time traffic on diverse routes with enhanced energy and throughput characteristics. Additionally, the QCODNAS-MSR protocol has deduced an objective function from a variety of input characteristics, including QoS, trust, and connection. The inclusion of a trust factor in the route selection process enables the most secure routes to be selected ideally. The QCODNAS-MSR model is capable of balancing the needed performance factors, resulting in near optimal routes for routing real-time traffic data. To show the QCODNAS-MSR algorithm’s better performance, a number of simulations were run under a variety of attack types. The comparative study found that the QCODNAS-MSR model outperformed the other approaches on a variety of measures.