An adaptive multichannel protocol for large-scale machine-to-machine networks
With the emergence of Internet of Things (IoT), trillions of devices will soon be interconnected and provide new services. The success of IoT relies on the scalability of underlying machine‐to‐machine communication networks. In this paper, we propose a distributed and adaptive multichannel protocol...
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Published in | Wireless communications and mobile computing Vol. 15; no. 6; pp. 1015 - 1025 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
25.04.2015
Hindawi Limited |
Subjects | |
Online Access | Get full text |
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Summary: | With the emergence of Internet of Things (IoT), trillions of devices will soon be interconnected and provide new services. The success of IoT relies on the scalability of underlying machine‐to‐machine communication networks. In this paper, we propose a distributed and adaptive multichannel protocol to address the scalability issue. The proposed protocol is composed of (i) real‐time estimation of competing devices, (ii) adaptive channel access probability, and (iii) asynchronous resource reservation. The three features ensure that channel utilization is maximized even when the number of competing devices and their traffic fluctuate dramatically. Our numerical and simulation results show that the proposed protocol can achieve a channel utilization of up to 93%, especially when the number of competing machine is large. Copyright © 2014 John Wiley & Sons, Ltd.
In this paper, we propose a distributed and adaptive multichannel protocol, which is composed of (i) real‐time estimation of competing devices, (ii) adaptive channel access probability and (iii) asynchronous resource reservation. The three features ensure that channel utilization is maximized even when the number of competing devices and their traffic fluctuate dramatically. Our numerical and simulation results show that the proposed protocol can achieve a channel utilization of up to 93%, especially when the number of competing machine is large. |
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Bibliography: | istex:2F8DF9D3EA724A77CBAC7934FAEE9C3A984D1F47 ark:/67375/WNG-4VJLC40L-P ArticleID:WCM2496 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1530-8669 1530-8677 |
DOI: | 10.1002/wcm.2496 |