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Wireless Sensor Networks (WSNs) have enormous applications in the present-day world. These applications are everywhere from military application to households. However, there are certain limitations which serve as hurdles in wide adoption of the WSNs. Mostly such networks are installed in a remote area where sensor nodes are operating using batteries. The conventional network protocols cannot be used due to security, high power consumption, and transmission ranges of such networks. The purpose of this paper is to discuss and evaluate the most efficient network protocol which increase the energy efficiency and network lifetime of the WSNs. Object tracking for the surveillance system is one of the challenges especially when an object is moving at variable speeds. The problem is addressed in this paper using Predictive Model for Object Detection. The fuzzy logic is inspiration from the natural procedures and it is used in this paper to enhance the efficiency of the network. Using fuzzy logic Low-energy Adaptive Clustering Hierarchy (LEACH-FL) protocol is optimized and revised to increase the efficiency of the network. To analyze the results of the designed, protocol a renowned software MATLAB/SIMULINK was used and the results were interoperated in a meaningful manner using the codes. Keywords: WSNs, Object Tracking, Fuzzy Logic, LEACH Protocols, Prediction Based Model.