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Dense collection of tiny Sensor Nodes (SNs), equipped with a variety of sensors are able to sense events, compute and communicate the estimations to the end user, form a distributed Wireless Sensor Network (WSN). The advances in WSNs have made it plausible to appraise critical aspects of object tracking WSNs that are continuous monitoring of object track and fault tolerance. This paper presents probabilistic performance evaluation of clustering, redundancy reduction, target tracking and fault tolerance phases of Fault-Tolerant Target Tracking (FTTT) protocol. This type of formal modeling with limited number of SNs helps to plan a scalable network with specific constraints related to the application, for example, object tracking quality, life time of the network, energy consumption, latency, QoS and network throughput.