Wireless sensor networks (WSNs) are being evolved as a vital mechanism to monitor and pursue various implementations these days. Security and energy usage, however, are seen as crucial WSN challenges. The multi-objective-trust centric artificial algae algorithm (M-TCAAA) is presented in this study as a means of achieving secure broadcasting over the WSN. Based on many fitness criteria including trust, leftover energy, node degree, and transmission cost, the suggested M-TCAAA is utilized to select the routing path and secure cluster head (SCH). As a result, M-TCAAA is employed to guarantee safe data transfer while lowering node power consumption. The power utilization, proportion of packets delivered (PDR), overall delay (EED), throughput, normalized routing load (NRL), and network durability are utilized to assess the efficiency of M-TCAAA. For evaluating the M-TCAAA, the following research works are taken into consideration: energy-aware trust and opportunity-based routing with mobile nodes (ETOR-MN); grey wolf updated whale optimization (GUWO); secure cluster-based routing protocol (SCBRP); secure routing protocol based on multi-objective ant-colony optimization (SRPMA); and multi-objective-trust aware hybrid optimization (MOTAHO). Compared to the ETOR-MN, GUWO, SRPMA, and MOTAHO, the PDR of the M-TCAAA for 100 nodes is larger at 99.87%.