ETSI M2M release 1 demonstration

Buonaccorsi, Novella; Cicconetti, Claudio; Mambrini, Raffaella; Podias, Nick; Russell, Paul T.

doi:10.1109/wowmom.2012.6263731

Cited by 5 publications

(4 citation statements)

References 4 publications

(3 reference statements)

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“…• ETSI Machine to Machine (M2M) Technical Committee [55]: concentrates mainly on ad hoc networks among things in which Internet is not part of the system.…”

Section: Iot Standardsmentioning

confidence: 99%

A Delta diagram synthesis for IoT optimization with grey wolf driven multi-objective automation

Siddavaatam¹

2021

Preprint

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Today, Internet of Things (IoT) is a major paradigm shift that will mark an epoch in communication technology such that every physical object can be connected to the Internet. With the advent of 5G communications, IoT is in urgent need of optimized architectures that can efficiently support wide ranging heterogeneous multi-objective requirements of communication, hardware and security aspects. The optimization challenges are rooted in the technology and how the information is acquired and manipulated by this technology. My research in this thesis provides a description of compelling challenges faced by IoT and how to mitigate these challenges by designing resource-aware communication protocols, resource- constrained device hardware with low computing power and low-powered computational security enhancements. This thesis lays the foundation for optimizing these challenging IoT paradigms by introducing a novel Delta-Diagram based synthesizing model. The Delta- Diagram provides a road-map linking the behavioral and structural domains of a given IoT paradigm to generate respective optimizer domain parameters, which can be utilized by any optimizer framework. The fundamental part of the communication synthesizer is a mathematical model, developed to obtain the best possible routing paths and communication parameters among things. The ultimate aim of the entire synthesis process is to devise a design automation tool for IoT, which exploits the interrelations between different layer functionalities. This thesis also proposes a novel cross-layer Grey wolf optimizer for IoT, which outperforms some of the contemporary optimizer algorithms such as Particle Swarm, Genetic Algorithm, Differential Evolution optimizers in solving unimodal, multi-modal and composition benchmark problems. The purpose of this optimizer is to accurately capture both the high heterogeneity of the IoT and the impact of the Internet as part of delta diagram synthesis enabled network architecture. In addition, the Grey wolf optimizer for IoT plays a crucial role in design exploration of system on chip architecture for IoT device hardware. The results generated by the optimizer yielded the most optimum feasible solutions in the design space exploration process of the IoT.

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“…• ETSI Machine to Machine (M2M) Technical Committee [55]: concentrates mainly on ad hoc networks among things in which Internet is not part of the system.…”

Section: Iot Standardsmentioning

confidence: 99%

A Delta diagram synthesis for IoT optimization with grey wolf driven multi-objective automation

Siddavaatam¹

2021

Preprint

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“…There are open standards to be proposed for M2M communications, such as 3GPP (Roessler 2017), OMA LWM2M (Mcllroy 2019), ETSI SmartM2M (Buonaccorsi et al 2012), and oneM2M (Swetina 2018). Those M2M standard protocols are designed to ensure interoperable and cost-effective operations for the sensor networks and M2M environment, managing lightweight and low-power devices on a variety of networks, and hence delivering services for the combination of IoT with the description of things and the context in which they are used.…”

Section: Related Workmentioning

confidence: 99%

A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web

Kim

Yun

et al. 2019

J Ambient Intell Human Comput

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There is a large variety of Internet of things (IoT) devices and their peripherals available in consumer markets, and IoT deployers should work on customizing device drivers that are compatible with their peripherals. Implementing compatible device drivers, however, often requires a burden of work. This paper proposes a generic platform that enables plug-and-play (PnP) integration for sensors and actuators to allow the addition and removal of IoT device peripherals without re-customizing all the device drivers. To this end, we employ IoT ontologies and semantics to represent IoT device characteristics and to infer IoT device behaviors. IoT device behavior is then passed to the generic device driver to cover device-specific operation. Since the generic device driver selectively operates most of the available function calls required in IoT devices, most of the programming work that is normally required for device customization is removed, and management overhead for software installation and maintenance can be minimized. To this end, we employ IoT ontologies and semantics as well as generic programming techniques in the generic platform in order to configure and control IoT devices. In the proposed platform, IoT device characteristics, including I/O functions and configuration rules, are defined using custom-built IoT ontologies, and operational behaviors are inferred through SPARQL queries. The generic platform then passes function-call name and configuration rules corresponding to the newly added peripheral device's specification. The experimental results show that our generic platform covers most of the popular sensors available in the market. Our solution therefore enables a true PnP experience of sensors and actuator peripherals in IoT devices.

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“…The M2M Management functions are all the functions required to manage M2M Applications and M2M SCs in the Network and Applications Domain, and the Network Management functions are all the functions required to manage the access, core, and transport networks [ 48 ]. The management functions include performance management, configuration management, fault management and software and firmware upgrading management.…”

Section: Etsi M2m Architecurementioning

confidence: 99%

“…The functionality of CoAP has been experimentally validated. The main functions of CoAP, working over UDP, observe and discovery, and its interworking with HTTP have been verified by Bormann et al [ 64 ], and the feasibility of an ETSI-compliant complete end-to-end system using CoAP is demonstrated in [ 48 ]. The transport of CoAP over Short Message Service (SMS) [ 65 ] has also been already implemented and evaluated in [ 66 ].…”

Section: M2m Application Protocolsmentioning

confidence: 99%

Towards Efficient Mobile M2M Communications: Survey and Open Challenges

Pereira

Aguiar

2014

Sensors

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Machine-to-Machine (M2M) communications enable networked devices and services to exchange information and perform actions seamlessly without the need for human intervention. They are viewed as a key enabler of the Internet of Things (IoT) and ubiquitous applications, like mobile healthcare, telemetry, or intelligent transport systems. We survey existing work on mobile M2M communications, we identify open challenges that have a direct impact on performance and resource usage efficiency, especially the impact on energy efficiency, and we review techniques to improve communications. We review the ETSI standard and application protocols, and draw considerations on the impact of their use in constrained mobile devices. Nowadays, smartphones are equipped with a wide range of embedded sensors, with varied local and wide area connectivity capabilities, and thus they offer a unique opportunity to serve as mobile gateways for other more constrained devices with local connectivity. At the same time, they can gather context data about users and environment from the embedded sensors. These capabilities may be crucial for mobile M2M applications. Finally, in this paper, we consider a scenario where smartphones are used as gateways that collect and aggregate data from sensors in a cellular network. We conclude that, in order for their use to the feasible in terms of a normal depletion time of a smartphone's battery, it is a good advice to maximize the collection of data necessary to be transmitted from nearby sensors, and maximize the intervals between transmissions. More research is required to devise energy efficient transmission methods that enable the use of smartphones as mobile gateways.

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ETSI M2M release 1 demonstration

Cited by 5 publications

References 4 publications

A Delta diagram synthesis for IoT optimization with grey wolf driven multi-objective automation

A Delta diagram synthesis for IoT optimization with grey wolf driven multi-objective automation

A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web

Towards Efficient Mobile M2M Communications: Survey and Open Challenges

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