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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Bibliographic Details
Published inWireless communications and mobile computing Vol. 15; no. 6; pp. 1015 - 1025
Main Authors Yen, Chi-Hsien, Hsu, Chen-Yu, Chou, Chun-Ting
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 25.04.2015
Hindawi Limited
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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.
Bibliography:istex:2F8DF9D3EA724A77CBAC7934FAEE9C3A984D1F47
ark:/67375/WNG-4VJLC40L-P
ArticleID:WCM2496
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SourceType-Scholarly Journals-1
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ISSN:1530-8669
1530-8677
DOI:10.1002/wcm.2496