A cellular-centric service architecture for machine-to-machine (M2M) communications

Lo, Anthony; Law, Yee Wei; Jacobsson, Martin

doi:10.1109/mwc.2013.6664485

Cited by 70 publications

(59 citation statements)

References 2 publications

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“…Lo et al [24] proposed a cellular-centric M2M service architecture combining ETSI and 3 rd Generation Partnership Project (3GPP) architectures. This proposal used M2M relay nodes as data connector to implement a tunnel-based aggregation scheme which merges data from several machines destined to the same tunnel exit-point.…”

Section: Such As European Telecommunications Standards Institute (Etsmentioning

confidence: 99%

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

Meng

Muvianto

et al. 2017

IEEE Internet Things J.

106

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Abstract-Machine-to-Machine (M2M) communication is a key enabling technology for the future Industrial Internet of Things (IIoT) applications. It plays an important role in the connectivity and integration of computerized machines, such as sensors, actuators, controllers, and robots. The requirements in flexibility, efficiency, and cross-platform compatibility of the inter-module communication between the connected machines raise challenges for the M2M messaging mechanism toward ubiquitous data access and events notification. This investigation determines the challenges facing the M2M communication of industrial systems and presents a data-oriented M2M messaging mechanism based on ZeroMQ (ZMQ) for the ubiquitous data access in rich sensing pervasive industrial applications. To prove the feasibility of the proposed solution, the EU funded PickNPack production line with a reference industrial network architecture is presented, and the communication between a microwave sensor device and the Quality Assessment and Sensing (QAS) module controller of the PickNPack line is illustrated as a case study. The evaluation is carried out through qualitative analysis and experimental studies, and the results demonstrate the feasibility of the proposed messaging mechanism. Due to the flexibility in dealing with hierarchical system architecture and cross-platform heterogeneity of industrial applications, this messaging mechanism deserves extensive investigations and further evaluations.

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Section: Such As European Telecommunications Standards Institute (Etsmentioning

confidence: 99%

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

Meng

Muvianto

et al. 2017

IEEE Internet Things J.

106

View full text Add to dashboard Cite

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“…IEEE 802.16p gives an overall architecture for M2M [39]. The authors of [40] review and compare the aforementioned architectures then propose a hybrid reference model. Since the reference architectures of 3GPP and IEEE 802.16p are functionally equivalent, mainly the efforts of ETSI, oneM2M, and 3GPP are presented.…”

Section: Standardization Of Reference M2m Architecturementioning

confidence: 99%

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Song

Nuaymi

Lagrange

2016

J Wireless Com Network

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A huge increase of machines attached to wireless networks is expected in the next few years. A large part of these machines will be covered by some wireless wide area networks. The arrival of cellular M2M (machine-to-machine) communication poses new requirements due to its specific characteristics. For most of the cellular M2M applications, the essential requirement is low energy consumption level or high energy efficiency. This survey provides a global view of the network technologies previewed for cellular M2M. In this survey, we study the existing classifications of M2M applications according to different criteria in the literature. The comparison of traffic characteristics between M2M and human-to-human is also proposed. Quality of service (QoS) requirements for typical M2M applications are resumed. The advance of reference M2M network architectures proposed by the Standard Development Organization (SDO) is investigated. We identify two possible effort directions to improve the energy efficiency for cellular M2M. The first one is to evolve the current existing 3rd Generation Partnership Project (3GPP) Consortium cellular networks to effectively support MTC (Machine Type Communication). The other direction is to design M2M-dedicated networks from scratch, which are often called low-power wide-area (LPWA) networks. We review, compare and categorize the proposals related to energy issues of cellular M2M mainly over the period 2011-2015 for the first direction. We introduce the development of LPWA networks for the other research directions. We highlight that the cooperative relaying, the design of energy-efficient signaling and operation, the new radio resource allocation schemes, and the energy-efficient random access procedure are the main points of improvement. It is important to jointly use the aforementioned approaches, for example, joint design of random access control and radio resource allocation, to seek for a trade-off between energy efficiency and other system performances.

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“…Supporting M2M traffic on an existing cellular network is considered in this paper because of its prevalence, ubiquity, mobility, and roaming support [8]. However, the process faces some challenges since such networks are only designed to support traditional human-to-human (H2H) communication .…”

Section: Introductionmentioning

confidence: 99%

Intelligent RACH Access Techniques to Support M2M Traffic in Cellular Networks

Bello

Mitchell

Grace

2018

IEEE Trans. Veh. Technol.

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ReuseItems deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Index Terms-M achine-to-machine, medium access control, cellular networks, Q-learning, ALOHA, RACH.I. INTRODUCTION ecent technological developments are changing the perception of wireless communication from the traditional human-centric view towards human independent communications. This is due to the increase in the number of devices that require connection to wireless networks. It has been argued in [1] that there are more electrical/electronic or mechanical objects in the world than people. It is estimated in [2], [3] that by 2020, up to 50 billion devices will require access to a communication network for industrial and domestic applications. This number is significant compared to the estimated human population of 8.3 billion. With this large difference in the ratio of the number of machines to humans, it will be difficult for such devices to be directly controlled by humans, and hence there is a need for them to communicate amongst themselves, with or without human intervention. This can be achieved through what is commonly referred to as Copyright (c) M2M communication will enable interaction between various devices with or without human intervention. M2M devices may be sensors, actuators, embedded processors, radio frequency identification (RFID) tags, smart meters, etc., [7]. The devices may be connected using wired or wireless access networks. Although wired networks are considered to be reliable and secure, they are very expensive to roll out and are not very flexible. As a result, many standards are not considering wired networks as an option for M2M communication. On the other hand, a wireless network is capable of providing excellent coverage, flexibility, mobility , and roaming capability. Hence, wireless access networks, which may be short range or long range (e.g. cellular), are considered as the most suitable option to deploy M2M communication [6].To realise cellular M2M communication, different wireless communication standardisation bodies , including 3GPP, are actively involved in research to provide global standards. Initial access to a cellular network is through the random access channel (RACH) which has a limited capacity. One of the majo r challenges identified by 3GPP in supporting M2M communication is the potential for RACH overload, due to the significant increase in traffic load that will arise from large numbers of M2M devices....

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A cellular-centric service architecture for machine-to-machine (M2M) communications

Cited by 70 publications

References 2 publications

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Intelligent RACH Access Techniques to Support M2M Traffic in Cellular Networks

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