Towards Efficient Mobile M2M Communications: Survey and Open Challenges

Towards Efficient Mobile M2M Communications: Survey and Open Challenges

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 ide...

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The Use of Mobile M2M Communications in E-Logistics

Logistic processes such as fleet management and tracking of assets deeply rely on Machine-to-Machine (M2M) communication services. In recent years, M2M communication is being considered as one of the most technologies that will be dominating future intelligent pervasive applications. The wide application area of mobile M2M communications includes logistics, smart metering, e-healthcare, surveil...

Energy Efficient Scheduling for Grouped M2M Communications over Cellular Networks

In this paper, energy-efficient scheduling for grouped machine-type devices deployed in cellular networks is investigated. We introduce a scheduling-based cooperation incentive scheme which enables machine nodes to organize themselves locally, create machine groups, and communicate through group representatives to the base station. This scheme benefits from a novel scheduler design which takes ...

Energy-Efficient Random Access for Machine- to-Machine (M2M) Communications

In this paper, an average consumed energy for a unit data transmission in analyzed in frequency-agile cognitive radios. The average energy consumed by a random access protocol operated in a channel using a whole system bandwidth is compared with that operated in frequency-separated channels, which results in an energy saving ratio. The energy saving ratio quantitatively evaluates an energy savi...