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For the last decades, we have witnessed new technological evolutions in the Internet, wireless networks, and sensors fields. Currently, we are able to build smart systems that improve quality of life and enhance environment management. However, most available smart systems are implemented based on proprietary hardware/software solutions, restricting interoperation, which is required for large-scale Smart City solutions. To enable the implementation of a general Smart City solution, a platform is needed to fulfill the communication requirements between heterogeneous access technologies. In this paper, we address the requirements and design aspects of a reference Machine-to-Machine (M2M) communication platform as an enabler for Smart Cities.

In some use cases, an end-to-end connection between a given data source and a destination may never be present. Consequently, traditional routing protocols cannot be directly applied for delivering data. One example is the wireless sensor networks (WSN), due to the limited capabilities of the connected nodes and the lack of reliable connection between them. Such networking paradigms are known as Delay Tolerant Networking (DTN) as they can tolerate a relatively higher delay. The implementation of Smart Cities is based on connecting the ubiquitous existence nodes and sensors via Machine-to-Machine (M2M) platforms, however this is challenged by the unreliable end-to-end connections in some scenarios. This paper proposes an architecture to interconnect Standard ETSI/oneM2M M2M platforms to DTN that apply a wake-up system for resourceconstrained sensors.

The current trend in operator networking is towards supporting the communication of devices which do not require human intervention for information gathering, processing and exchange over the network, generically named Machine Type Communication (MTC). This paradigm aims to increase the level of system automation in which the devices and systems can exchange and share data, facilitating the communication for other industry branches resulting in new services such as smart cities, smart grids etc. This paper introduces the OpenMTC platform a software reference implementation of the ETSI M2M standards including advanced features for machine communication, application integration, remote management and integration with available sensors and actuators. OpenMTC in addition to fostering research and development enables academic and industry researchers to rapidly realize testbeds and demonstrations in the MTC communication area

The upcoming communication aim will not focus on connecting humans by different kinds of multimedia services, but also connecting machines of different aspects, providing a global smart world. The telecommunication industry is currently moving towards service-oriented infrastructures based on Internet Protocol (IP), Service Oriented Architectures (SOA), and Service Delivery Platforms (SDP). In this paper we introduce the Machine-to-Machine (M2M) trend of communications, which evoked more interest recently, and describe a set of proposed Application Programming Interfaces (APIs) to interact with our new OpenMTC framework at FOKUS

The current trend of running software components on top of virtual machines in cloud platforms is gaining more momentum as it reduces the deployment time and operational costs in comparison to running them on dedicated hardware. By providing elasticity through orchestration, this approach brings even more value taking advantage of the resources on peak times and saving energy when the load is not significant. However, such an approach brings some challenges due to the dynamic instantiation of new service components: it is necessary to always announce clients changes in the backend infrastructure. In this paper, we propose a solution for dynamically communicating parameters provisioning between M2M endpoints using a device management protocol. Two device management protocols were compared and OMA LWM2M was chosen for its energy efficiency. The proposed solution is based on the OpenMTC toolkit and enables safe and reliable communication establishment from one M2M endpoint to another one elastically deployed in the cloud

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