Topic
Machine to machine
About: Machine to machine is a research topic. Over the lifetime, 1709 publications have been published within this topic receiving 26329 citations. The topic is also known as: M2M & communication.
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25 Sep 2022
TL;DR: In this paper , the authors present key technologies and future trends of terminal ecosystem for intelligent energy IoT, including unified resource model, reconfigurable hardware platform, and lightweight software system.
Abstract: Intelligent energy Internet of Things (IoT) supports smart cities construction through the functions of information sensing and energy management. However, massive application scenarios of smart cities result in serious fragmentation of IoT terminal ecosystem. Establishing platform-based terminal ecosystem is considered as a solution to the fragmentation problem. This paper presents key technologies and future trends of terminal ecosystem for intelligent energy IoT. Functions of intelligent energy IoT are addressed to summarize demands for IoT key technologies, which involving sensor, hardware platform, software system and machine-to-machine (M2M) communication. Future trends of platform-based terminal ecosystem, including unified resource model, reconfigurable hardware platform and lightweight software system are proposed to solve serious fragmentation.
Journal Article•
TL;DR: In this paper, an over-the-air (OTA) subscription management system known as Embedded SIM (eUICC or eSIM) was created. The eSIM is a novel secure element for managing multiple mobile network provider subscriptions remotely and is compatible with the GSMA's remote SIM provisioning standard.
Abstract: As the number of connected devices grows, and cellular machine-to-machine (M2M) communications becomes more prevalent, new difficulties emerge that are not present in traditional consumer mobile communications. The usual method of changing a cell provider by switching SIM cards becomes complicated and expensive with extensively deployed M2M devices. To overcome this issue, an over-the-air (OTA) subscription management system known as Embedded SIM (eUICC or eSIM) was created. The eSIM is a novel secure element for managing multiple mobile network provider subscriptions remotely and is compatible with the GSMA's remote SIM provisioning standard. This paper provides a high-level overview of M2M eSIM, and its architecture. The standard sim and eSIM lifecycles are compared. This paper also provides the key features and different compliances for eSIM. It also includes a summary of the challenges and constraints encountered in the field, as well as the present extent of its application in various sectors.
TL;DR: The simulation results indicate that the ehealthcare related data traffic has a significant influence on other LTE traffic.
Abstract: This paper deals with various scheduling algorithms for resource allocation and their impact on real-time traffic in LTE networks. It investigates several traffic M2M models in healthcare monitoring system. It also evaluates the performance of M2M traffic in health monitoring with file transfer (FTP) and Voice users. The maximum delay (CQ) differences between the algorithms are obtained for medical applications. The simulation results indicate that the ehealthcare related data traffic has a significant influence on other LTE traffic.
Posted Content•
TL;DR: In this paper, the authors present a conceptual framework for the evaluation of IoT application quality and propose, develop and validate via empirical evaluations a novel model for evaluating sensor data quality that is a key component in assessing IoT applications quality.
Abstract: The unprecedented growth of Internet of Things (IoT) and its applications in areas such as Smart Agriculture compels the need to devise newer ways for evaluating the quality of such applications. While existing models for application quality focus on the quality experienced by the end-user (captured using likert scale), IoT applications have minimal human involvement and rely on machine to machine communication and analytics to drive decision via actuations. In this paper, we first present a conceptual framework for the evaluation of IoT application quality. Subsequently, we propose, develop and validate via empirical evaluations a novel model for evaluating sensor data quality that is a key component in assessing IoT application quality. We present an implementation of the sensor data quality model and demonstrate how the IoT sensor data quality can be integrated with a Smart Agriculture application. Results of experimental evaluations conducted using data from a real-world testbed concludes the paper.
01 Jan 2013
TL;DR: Cellular network based Machine-to-Machine communications have been growing rapidly in recent years, being used in a wide range of services such as security, metering, health, remote control, and more.
Abstract: Cellular network based Machine-to-Machine (M2M) communications have been growing rapidly in recent years, being used in a wide range of services such as security, metering, health, remote control, ...