Wireless sensor networks (WSNs) possess the merits of low cost, low power consumption and flexible communication that makes it suitable and ideal for diversified applications such as military operations, weather forecasting, health monitoring and network surveillance. Dynamic cluster head selection schemes from the dimension of WSN clustering algorithm are considered to handle the issues of unreasonable cluster head selection. Impotent cluster head selection results in unbalanced energy consumption and overlapping coverage during the process of cluster communication. Thus, an optimal clustering scheme that sustains energy stability and energy consumptions by discovering the reliable oath without hindering the reliability in transmission is a highly challenging task. In this paper, Improved Symbiosis Organism Search Algorithm-based Clustering Scheme (ISOSACS) is proposed for predominant cluster head selection that aids in maintaining energy stability with enhancing longevity in WSNs. This ISOSACS is proposed with the benefits of self-adaptive superior factor and three-way phase of mutualism, such that frequent selection of cluster head is completely prevented in the network. It included the benefits of new control operator and coefficient of random weighted reflection for potential selection of cluster heads, such that unnecessary wastage of energy is eliminated. Simulation results of ISOSACS confirmed better performance in throughput of 18.24% with minimized energy consumptions of 15.68% and reduced delay of 16.38% on par with the competitive clustering schemes.