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Journal ArticleDOI

M2M Service Platforms: Survey, Issues, and Enabling Technologies

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TLDR
This paper proposes an M2M service platform (M2SP) architecture and its functionalities, and presents the M1M ecosystem with this platform and discusses the issues and challenges of enabling technologies and standardization activities.
Abstract
Machine-to-Machine (M2M) refers to technologies with various applications. In order to provide the vision and goals of M2M, an M2M ecosystem with a service platform must be established by the key players in industrial domains so as to substantially reduce development costs and improve time to market of M2M devices and services. The service platform must be supported by M2M enabling technologies and standardization. In this paper, we present a survey of existing M2M service platforms and explore the various research issues and challenges involved in enabling an M2M service platform. We first classify M2M nodes according to their characteristics and required functions, and we then highlight the features of M2M traffic. With these in mind, we discuss the necessity of M2M platforms. By comparing and analyzing the existing approaches and solutions of M2M platforms, we identify the requirements and functionalities of the ideal M2M service platform. Based on these, we propose an M2M service platform (M2SP) architecture and its functionalities, and present the M2M ecosystem with this platform. Different application scenarios are given to illustrate the interaction between the components of the proposed platform. In addition, we discuss the issues and challenges of enabling technologies and standardization activities, and outline future research directions for the M2M network.

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Proceedings ArticleDOI

A Queueing Theory Approach to Small-Cell Assisted IoT Traffic Offloading

TL;DR: A heuristic offloading algorithm is proposed that is shown to achieve a comparable performance to that obtained through an exhaustive search algorithm and outperforms similar algorithms in the literature that do not take the users' traffic load into consideration.
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Metalworking Industry: Quality Management via Edge Computing-Based Cloud Monitoring System

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A wireless sensor network system using 6LoWPAN

TL;DR: This study implemented a 6LowPAN network using Contiki operating system in order to collect information coming from different sensors residing in nodes and stored this information in a database to be accessed by Internet.
Proceedings ArticleDOI

Environmental Aware Hierarchical Ad Hoc Network with Multiple Frequency Bands using Weighted Laplacian Matrix

TL;DR: A throughput-aware and stability-aware distributed routing scheme for ad hoc network using multiple frequency bands using weighted Laplacian matrix that can choose an optimized route by the selected priority is proposed.
References
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Journal ArticleDOI

Wireless sensor networks: a survey

TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
ReportDOI

RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks

Tim Winter
TL;DR: This document specifies the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), which provides a mechanism whereby multipoint-to-point traffic from devices inside the LLN towards a central control point as well as point- to- multipoint traffic from the central control points to the devices insideThe LLN are supported.
ReportDOI

The Constrained Application Protocol (CoAP)

TL;DR: The Constrained Application Protocol is a specialized web transfer protocol for use with constrained nodes and constrained networks, designed for machine- to-machine (M2M) applications such as smart energy and building automation.
Journal ArticleDOI

Principled design of the modern Web architecture

TL;DR: The Representational State Transfer (REST) architectural style is introduced, developed as an abstract model of the Web architecture and used to guide the redesign and definition of the Hypertext Transfer Protocol and Uniform Resource Identifiers.
Journal Article

Maintaining Sensing Coverage and Connectivity in Large Sensor Networks.

TL;DR: A decentralized density control algorithm, Optimal Geographical Density Control (OGDC), is devised for density control in large scale sensor networks and can maintain coverage as well as connectivity, regardless of the relationship between the radio range and the sensing range.
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