TY - EJOU AU - Nageswari, D. AU - Maheswar, R. AU - Jayarajan, P. TI - OA-PU Algorithm-to Enhance WSN Life Time with Cluster Head Selection T2 - Intelligent Automation \& Soft Computing PY - 2022 VL - 33 IS - 2 SN - 2326-005X AB - Clustering is the most popular strategy for increasing the lifetime of a wireless sensor network, which immediately leads to a stronger routing process. This process requires the processing of sensor nodes into clusters and assigning relevant cluster heads to each cluster. This paper aims to implement a new hybrid algorithm called Over taker Assisted Political Update (OA-PU) for selecting an efficient cluster head. This cluster head is selected based upon four factors, namely energy, distance, cluster radius, and time. The hybrid algorithm is a combination of the Fusion Rider Optimization Algorithm (F-ROA) as well as a nature-inspired Political Optimization Algorithm (PO). Fusion-ROA depends on groups of riders that are attempting to reach the goal and PO is a state of the art meta-heuristic optimization methodology for global and structural analysis performance prediction in the WSN environment. In terms of alive node analysis, cost function analysis, and energy analysis, the proposed OA-PU outperforms conventional approaches. Consequently, the lifetime of WSN is increased and an optimal system is developed. KW - Alive node; political optimization; cluster radius; cluster head overtaker DO - 10.32604/iasc.2022.022270