Home M2M networks: Architectures, standards, and QoS improvement

Zhang, Yan; Yu, Rong; Xie, Shengli; Yao, Wenjuan; Xiao, Yang; Guizani, Mohsen

doi:10.1109/mcom.2011.5741145

Cited by 400 publications

(145 citation statements)

References 3 publications

Supporting

Mentioning

143

Contrasting

Unclassified

Order By: Relevance

“…Niyato et al [12] proposed an M2M Home Energy Management System (HEMS) with a network architecture to collect status and power consumption demand from home appliances. Zhang et al [35] proposed an M2M network architecture for services in home surroundings, such as mobile healthcare, home automation, security, appliance monitoring, lighting, and entertainment. This investigation focused on the QoS management in home M2M network considering the visual and multimedia requirements and proposed a cross-layer joint admission and rate control design for QoS-aware multimedia sharing.…”

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

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.

show abstract

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

show abstract

“…Different M2M applications have different requirements to quality of service (QoS) [1,2]. Some QoS requirements depend on the transported media e.g.…”

Section: Introductionmentioning

confidence: 99%

Model Aspects of Quality of Service Management in Machine to Machine Communications

Atanasov¹,

Nikolov²,

Pencheva³

2016

Information Technologies and Control

View full text Add to dashboard Cite

show abstract

“…The performance of M2M communications may be seriously degraded due to the selfexistence/coexistence interference. Moreover, wireless channels in M2M communications are notoriously unreliable due to channel fluctuations and noise, which may become even worse due to the complicated construction in an indoor environment [2].…”

Section: Introductionmentioning

confidence: 99%

Optimal power allocation in cognitive radio based machine-to-machine network

Huang

Zhao

et al. 2014

J Wireless Com Network

View full text Add to dashboard Cite

In this paper, we investigate the optimal power allocation strategy in a cognitive radio-based machine-to-machine (M2M) network where a licensed primary user and multiple unlicensed M2M devices coexist and operate in the same licensed spectrum. We develop a connectivity establishment mechanism in M2M network based on the cognitive radio scheme and propose an optimal power allocation scheme which achieves the maximum system utility while satisfying the QoS requirement of M2M devices and interference constraints of the primary user. The simulation results show that the proposed algorithm achieves better performance.

show abstract

Home M2M networks: Architectures, standards, and QoS improvement

Cited by 400 publications

References 3 publications

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

Model Aspects of Quality of Service Management in Machine to Machine Communications

Optimal power allocation in cognitive radio based machine-to-machine network

Contact Info

Product

Resources

About