Traffic models for machine-to-machine (M2M) communications

Laner, Markus; Nikaein, Navid; Svoboda, Philipp; Popović, Milica; Drajić, Dejan; Krčo, Srdjan

doi:10.1016/b978-1-78242-102-3.00008-3

Cited by 40 publications

(37 citation statements)

References 15 publications

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“…In that case, for every collided RS in the preallocated pool, Ω RSs are allocated 5 Specifically, we assume that there is a maximum of a single arrival per station during T R , and that in regular mode, most of the stations do not experience packet arrivals during T R . This is justified when (1), (2), (13) and the alarm reporting model from Section IV-A are taken into account. 6 When the collision resolution is frame slotted Aloha-based, a higher efficiency can achieved using two frames with (optimized) lengths of L 1 and L 2 slots, respectively, than providing a single frame with L = L 1 + L 2 slots [16].…”

Section: The Proposed Access Methodsmentioning

confidence: 92%

“…For analytical tractability, we also assume Poisson arrivals in state 1 [13], with the arrival rate during ∆t:…”

Section: A the Proposed Model Of Alarm Reportingmentioning

confidence: 99%

“…In order to model the correlated behavior of the stations, we assume a coupled Markov modulated Poisson process, as proposed in [13]. The main idea is that a background process …”

Section: A the Proposed Model Of Alarm Reportingmentioning

confidence: 99%

“…In [13], θ n (t) is modeled using Beta distribution with the parameters given in [8]. In contrast to this approach, we characterize θ n (t) using a physical model of alarm propagation.…”

Section: A the Proposed Model Of Alarm Reportingmentioning

confidence: 99%

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Reliable and Efficient Access for Alarm-Initiated and Regular M2M Traffic in IEEE 802.11ah Systems

Madueno

Stefanović

Popovski

2016

IEEE Internet Things J.

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Abstract-IEEE 802.11ah is a novel WiFi-based protocol, aiming to provide an access solution for the machine-to-machine (M2M) communications. In this paper, we propose an adaptive access mechanism that can be seamlessly incorporated into IEEE 802.11ah protocol operation and that supports all potential M2M reporting regimes, which are periodic, on-demand and alarm reporting. The proposed access method is based a periodically reoccurring pool of time slots, whose size is proactively determined on the basis of the reporting activity in the cell. We show that it is possible to both efficiently and reliably resolve all reporting stations in the cell, within the limits of the allowed deadlines. As a side result, we also provide a rationale for modeling the inter-arrival time in alarm events by using the Beta distribution, a model that is considered in the 3GPP standardization.

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Section: The Proposed Access Methodsmentioning

confidence: 92%

“…For analytical tractability, we also assume Poisson arrivals in state 1 [13], with the arrival rate during ∆t:…”

Section: A the Proposed Model Of Alarm Reportingmentioning

confidence: 99%

“…In order to model the correlated behavior of the stations, we assume a coupled Markov modulated Poisson process, as proposed in [13]. The main idea is that a background process …”

Section: A the Proposed Model Of Alarm Reportingmentioning

confidence: 99%

“…In [13], θ n (t) is modeled using Beta distribution with the parameters given in [8]. In contrast to this approach, we characterize θ n (t) using a physical model of alarm propagation.…”

Section: A the Proposed Model Of Alarm Reportingmentioning

confidence: 99%

See 2 more Smart Citations

Reliable and Efficient Access for Alarm-Initiated and Regular M2M Traffic in IEEE 802.11ah Systems

Madueno

Stefanović

Popovski

2016

IEEE Internet Things J.

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“…The number of devices in the first part depends on the barring factor in the previous slot. The number of devices in the second part may follow the traffic prediction model [1,16]. Thus, to estimate the number of backlogged devices, it is reasonable to consider traffic load as two parts.…”

Section: Related Workmentioning

confidence: 99%

Efficient Data Forwarding for Machine Type Communications in Internet of Things Networks

Lim

Park

2017

Wireless Communications and Mobile Computing

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The MTC (Machine Type Communications) system is one of the most promising technologies to provide IoT (Internet of Things) applications. The MTC system suffers from congestion due to limited data transmission capacity and burst traffic. The congestion disturbs data delivery, results in an increase of energy consumption due to data retransmission, and finally poses a threat to the providers of IoT applications. In this paper, we focus on the congestion problem and present an efficient data forwarding mechanism to regulate the burst channel access from a large number of MTC devices. To regulate the communication channel access from the devices, we predict the number of devices by separating traffic load into the prediction of the number of devices that newly attempt to have access and the prediction of the number of devices that retry to access the channel. Through simulations, we show that our mechanism improves access success probability and reduces collision probability and access delay.

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