Now-a-days, wireless sensor networks (WSNs) are getting progressively advanced with the developing system scale and the dynamic idea of remote correspondences. Numerous estimation and demonstrative methodologies rely upon per-parcel steering ways for exact and fine-grained examination of the mind boggling net-work practices. In this paper, we propose iPath, a novel way surmising way to deal with recreating the per-bundle steering ways in powerful and expansive scale systems. The fundamental thought of iPath is to misuse high way closeness to iteratively gather long ways from short ones. IPath begins with an underlying known arrangement of ways and performs way deduction iteratively. iPath incorporates a novel outline of a lightweight Extensible hashing, hash work for confirmation of the surmised ways. So as to additionally enhance the deduction ability and additionally the execution proficiency, iPath incorporates a quick bootstrapping calculation to remake the underlying arrangement of ways. We additionally execute iPath and assess its execution utilizing follows from huge scale WSN organizations and in addition broad reproductions. Results demonstrate that iPath accomplishes significantly higher remaking proportions under various system settings contrasted with other best in class approaches.