To enhance accessibility, scalable and modelling and energy efficiency of MTC networks with several types of machine-type communication devices (MTCD), specifically type-1 and type-2 MTCD, that have diverse communication purposes. Two transmission schemes are proposed in this paper called connectivity and quality schemes which consider MTCDs’ random active/inactive state and stochastic geometry-based deployment. In particular, the suggested techniques employ an unique continuous wireless data energy transmission architecture based on the Bernoulli random process to enable the operation of active type-I MTCDs. One million devices per square kilometre are supported by mMTC for connection density. Compared to 4G LTE network capability, this is more than ten times higher. Because of this capability, 5G can offer the foundation required to support massive networks of cellular-connected sensors. We demonstrate in the performance evaluation of the suggested methods that the Singh-mandala distribution can reasonably match the division of the received power in the quality schemes. We develop equivalent closed form solutions for the breakdown and sum throughput of massive MTC (mMTC) networks using this new and more effective statistical result. On comparison with traditional mMTC networks, we demonstrate through statistical results that the proposed methods offer a significant throughput gain.