In densely deployed WSNs, we provide in this study an energy-efficient location-aware clone detection strategy that can ensure effective clone attack detection and preserve a reasonable network lifetime. In particular, to confirm the authenticity of sensors and report identified clone attacks, we utilize the location data of sensors and arbitrarily choose witnesses situated inside a ring area. Energy-efficient data forwarding along the path towards the witnesses and the sink is made possible by the ring structure.With reliable witnesses, we theoretically demonstrate that the suggested methodology can reach a 100% clone detection probability. By examining the clone identification performance with unreliable witnesses, we expand on the findings and demonstrate that even with 10% of witnesses compromised, the clone detection probability still reaches 98 percent. Furthermore, in the majority of current clone detection protocols that employ a random witness selection scheme, the amount of buffer storage needed for sensors is typically determined by the node density, or O(n−−√). However, in our suggested protocol, the amount of buffer storage needed for sensors is determined by the hop length of the network radius h, or O(h). Our suggested protocol can achieve a long network lifetime by efficiently dispersing the traffic load throughout the network, as shown by extensive simulations