For the WSNs lifetime optimization, the non-disjoint set covers (NDSC) based coverage control approach has brought out a better performance. In addition, it yields a promising indicators in term of reliability, resilience and the possibility to be used for heterogeneous WSNs. This paper addresses the WSNs resiliency assessment via NDSC approaches to WSNs lifetime optimization. We investigated the ability to provide and maintain the required level of coverage when facing various failures. It uses mathematical model for the WSNs lifetime, the Genetic Algorithm (GA) used for NDSC finding and the GA used for WSNs lifetime optimization to search the best reconfiguration in case of a sensor failure. Then, it uses the Monte Carlo dynamic simulation method to assess the WSN resilience based on NDSC. For a WSN with m sensors included in q NDSC scheduled for a given number of sensing periods, our method could estimate the WSN resilience and reconfigurability that enables to prolong the network lifetime considering the failure hazards on a given operating time corresponding to the number of monitoring seasons.