The Machine-to-Machine (M2M) communication intends to promote seamless interaction between connecting devices to enable the automation of decision making based on aggregated data. This forms the new Internet of Things (IoT) paradigm, which aims to increase the level of system automation by enabling devices and systems to exchange and share data, facilitating the communication for other industry branches. This article addresses the requirements of implementing reliable Smart services, with

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... eration to the heterogeneous traffic patterns rises from the huge variant devices. The main challenges for M2M communication are driven from integrating lowpower devices, each produce a different pattern of traffic, and low bandwidth networks. The heterogeneity of integrated communications technologies, targeted service domain and data representation, highlights the need to study the communication requirements of various services and the traffic patterns in the system. Developing a detailed understanding of the traffic characteristics of the network is very important to achieve the goal of delivering reliable services. The current cellular mobile networks are designed for human communication, and therefore are optimized for the traffic characteristics of human-based communication applications, i.e. communication with a certain session period, data volume, interaction frequency and patterns. A study in an operational 3G network with the Busplus application has shown that even a few tens of M2M terminals can lead to a significant network accessibility degradation (up to 60%) [2] . To overcome the shortcomings, improve the network performance and further guarantee the application's Quality of Service (QoS), reliable