Name
Abstract | ||
|---|---|---|
The next generation of mobile systems are expected to support the new promising Machine-to-Machine (M2M) technology carried by the advance of Internet of Things (IoT) devices. In the near future, an exponential growth of the number of M2M devices is expected due to their ubiquity. In normal situations, a limited bandwidth in Narrow Band-Internet of Things (NB-IoT) technology may help in improving IoT requirements effectively. However, in emergency and disastrous moments, M2M expected storms lead inevitably to network saturations. In this manuscript, we propose a novel Adaptive eNodeB (A-eNB), which solves the network overload problem gradually, while keeping Human-to-Human (H2H) traffic not to be affected dreadfully. The network adaptation is provided through a dynamic NB-IoT bandwidth reservation aiming to increase the number of M2M connections accessing NB-IoT network with minimal overload congestion problems. A Continuous-Time Markov Chain (CTMC) is proposed helping the H2H/M2M coexistence to become more approachable especially during disaster scenarios. Our results show that by leasing 18 resource blocks using an A-eNB for NB-IoT traffic can result a completion rate of 98% on M2M traffic throughout emergency scenarios. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/Cybermatics_2018.2018.00035 | 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) |
Keywords | Field | DocType |
Bandwidth,Machine-to-machine communications,Adaptation models,Storms,Internet of Things,Mathematical model,3GPP | Computer science,Internet of Things,Markov chain,Computer network,Bandwidth (signal processing),EnodeB,Bandwidth reservation,Network adaptation,Exponential growth | Conference |
ISBN | Citations | PageRank |
978-1-5386-7975-3 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. H. EL Fawal | 1 | 0 | 0.34 |
| Ali Mansour | 2 | 245 | 33.79 |
| Najem, M. | 3 | 12 | 3.73 |
| F. Le Roy | 4 | 0 | 0.34 |
| D. Le Jeune | 5 | 5 | 3.10 |