Wireless sensor networks (WSN) have affected various military and civilian applications. Target tracking is one of the top applications of WSNs. Efficient computation and energy dissipation are critical requirements for a WSN when used in target tracking. The goals are to maximize the network?s lifetime while ensuring accuracy. Existing methods such as the LEACH-based algorithms suffer either complex computations or redundant data/sensor deployment. Those drawbacks result in inefficient energy use and/or computation overhead. Optimized Communication and Organization (OCO) is a method that provides self-organizing and routing capabilities. OCO ensures maximum accuracy, efficient energy dissipation, and low computation overhead. We have conducted simulation-based evaluations to compare the performance of OCO against LEACH and Direct Communication (DC), under various scenarios. This paper discusses OCO, the simulation set-up, the performance metrics, and the analysis of the results.