Nowadays, wireless sensor networks (WSNs), a category of ad-hoc networks, are significant in the field of research as network lifetime and energy constraints are crucial. WSNs comprise sensor nodes that transmit the sensed environmental readings to a Base Station (BS), from which the end-users can collect the data. Plenteous research is emerging concerning the energy usage and network lifetime of WSNs. Routing protocols are crucial concerning node’s energy as data transmission reduces the energy of nodes, which can deplete the sensor node as early as possible. By enhancing these protocols, network lifetime can also be increased. The idea of clustering used in hierarchical routing protocols makes them significant as cluster formation can save the energy level of nodes. The optimal cluster head (CH) selection in each cluster plays another significant role in efficiently transmitting data to the BS. Low-Energy Adaptive Clustering Hierarchy (LEACH) is a well-known and relevant hierarchical routing protocol in which the aggregated data packets are transmitted to the BS to avoid data redundancy, thereby minimizing energy usage and extending network lifetime. This study categorizes and compares LEACH descendants to highlight their advancements considering the integration of both data transmission and selection of CH. Enhancement to LEACH is implemented in NS-3.41, comparing different propagation loss models with the models used in older LEACH. Analyzed that the Jakes model shows significant signal strength values compared to the original LEACH.