The LTE random access procedures proposed in 3GPP for Machine Type Communication (MTC) in current cellular systems may become overwhelmed when too many machine devices attempt to upload their data. In this thesis, we propose a two-hop slotted ALOHA-based cluster random access method to improve the performance of MTC. We introduce a clustering geometry model for machine locations, and define a clustering metric to measure the clustering of the locations. We examine the impact of different parameters on the system performance. Our results show that as the machine locations become more clustered, the overall performance metrics are improved. It can also be seen that the energy consumption can be dramatically decreased using the proposed scheme due to the simplified access procedure proposed.