Internet of Things (IoT)-Wireless Sensor Networks (WSNs) depend heavily on routing, particularly multi-hop routing, which makes large-scale deployments of data transmission efficient. Multi-hop routing increases overall dependability, extends network lifetime, and enables communication between sensors through intermediary nodes. In order to solve energy problems in WSN, a multi-hop routing architecture is developed that is both secure and energy efficient. The two key stages of the framework are transmission and clustering. Energy-efficient cluster heads are chosen during the clustering phase based on a number of factors, including throughput, security, packet delivery ratio (PDR), communication cost, intra- and inter-cluster distances, and residual energy. For optimal Cluster Head (CH) selection based on various objectives, the novel Particle Swarm Induced Tunicate Swarm Optimisation Algorithm (PITSO), a combination of Particle Swarm Optimisation Algorithm (PSO) and Tunicate Swarm Algorithm (TSA), is utilised. Furthermore, choosing the shortest path between CHs determines multi-hop communication. As a result, the proposed model develops a multi-hop routing framework for WSNs that is safe and energy efficient, improving the reliability and efficiency of the network resulting 0.09 J of energy consumption, 1.325 ms end to end delay, 2156.23kbps of throughput, and 0.82 trust at 100 nodes.