Performance analysis of an LTE gateway for the IoT

Costantino, Luca; Buonaccorsi, Novella; Cicconetti, Claudio; Mambrini, Raffaella

doi:10.1109/wowmom.2012.6263789

Cited by 25 publications

(12 citation statements)

References 17 publications

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“…The Constrained Application Protocol (CoAP) is an application layer protocol, specifically for energy constrained devices, described in [40]. The device in question (in this context, a sensor node) communicates with a CoAP client, which in turn communicates with a web server.…”

Section: Sensing Platformsmentioning

confidence: 99%

The Role of Advanced Sensing in Smart Cities

Hancke

Silva

2012

Sensors

500

271

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In a world where resources are scarce and urban areas consume the vast majority of these resources, it is vital to make cities greener and more sustainable. Advanced systems to improve and automate processes within a city will play a leading role in smart cities. From smart design of buildings, which capture rain water for later use, to intelligent control systems, which can monitor infrastructures autonomously, the possible improvements enabled by sensing technologies are immense. Ubiquitous sensing poses numerous challenges, which are of a technological or social nature. This paper presents an overview of the state of the art with regards to sensing in smart cities. Topics include sensing applications in smart cities, sensing platforms and technical challenges associated with these technologies. In an effort to provide a holistic view of how sensing technologies play a role in smart cities, a range of applications and technical challenges associated with these applications are discussed. As some of these applications and technologies belong to different disciplines, the material presented in this paper attempts to bridge these to provide a broad overview, which can be of help to researchers and developers in understanding how advanced sensing can play a role in smart cities.

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Section: Sensing Platformsmentioning

confidence: 99%

The Role of Advanced Sensing in Smart Cities

Hancke

Silva

2012

Sensors

500

271

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“…Authors evaluated LTE for M2M on a bandwidth of 10 MHz without considering the 1.4 MHz bandwidth adapted by LTE-M for M2M communications. Costantino, Luca, et al have proposed in [8] a hybrid architecture for IoT where M2M devices are connected to an IoT gateway and evaluated the impact of M2M traffic in terms of network performance on traditional communications between UEs. On the MAC layer, Zain, Aini Syuhada Md, et al compared in [9] the performance of different scheduling algorithms for VoIP traffic in LTE-A networks.…”

Section: Related Workmentioning

confidence: 99%

In depth performance evaluation of LTE-M for M2M communications

Dawaliby

Bradai

Pousset

2016

2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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The Internet of Things (IoT) represents the next wave in networking and communication which will bring by 2020 tens of billions of Machine-to-Machine (M2M) devices connected through the internet. Hence, this rapid increase in Machine Type Communications (MTC) poses a challenge on cellular operators to support M2M communications without hindering the existing Quality of Service for already established Human-to-Human (H2H) communications. LTE-M is one of the candidates to support M2M communications in Long Term Evolution (LTE) cellular networks. In this paper, we appraise and present an in depth performance evaluation of LTE-M based on cross-layer network metrics. Compared with LTE Category 0 previously released by 3GPP for MTC, simulation results show that LTE-M offers additional advantages to meet M2M communication needs in terms of wider coverage, lower throughput, and a larger number of machines connected through LTE network. However, we show that LTE-M is not yet up to the level to meet future applications requirements regarding a near-zero latency and an advanced Quality of Service (QoS) for this massive number of connected Machine Type devices (MTDs).

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“…Costantino et al [ 27 ] evaluate the performance of an LTE gateway using CoAP and representative M2M traffic patterns and network configurations through simulations. The authors argue that traffic patterns depend very much on the single application considered, and, therefore, do not describe or justify their choices.…”

Section: Mobile M2m Literature Reviewmentioning

confidence: 99%

Towards Efficient Mobile M2M Communications: Survey and Open Challenges

Pereira

Aguiar

2014

Sensors

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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 identify open challenges that have a direct impact on performance and resource usage efficiency, especially the impact on energy efficiency, and we review techniques to improve communications. We review the ETSI standard and application protocols, and draw considerations on the impact of their use in constrained mobile devices. Nowadays, smartphones are equipped with a wide range of embedded sensors, with varied local and wide area connectivity capabilities, and thus they offer a unique opportunity to serve as mobile gateways for other more constrained devices with local connectivity. At the same time, they can gather context data about users and environment from the embedded sensors. These capabilities may be crucial for mobile M2M applications. Finally, in this paper, we consider a scenario where smartphones are used as gateways that collect and aggregate data from sensors in a cellular network. We conclude that, in order for their use to the feasible in terms of a normal depletion time of a smartphone's battery, it is a good advice to maximize the collection of data necessary to be transmitted from nearby sensors, and maximize the intervals between transmissions. More research is required to devise energy efficient transmission methods that enable the use of smartphones as mobile gateways.

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Performance analysis of an LTE gateway for the IoT

Cited by 25 publications

References 17 publications

The Role of Advanced Sensing in Smart Cities

The Role of Advanced Sensing in Smart Cities

In depth performance evaluation of LTE-M for M2M communications

Towards Efficient Mobile M2M Communications: Survey and Open Challenges

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