Multistage Dynamic Packet Access Mechanism of Internet of Things
In the scenario of mass control commands requesting for network access, confined by the best-effort network service mode, it is easy to bring about resource competition and thus a phenomenon of access failure on major and urgent service request at the data access center for the Internet of Things. I...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Mobile Information Systems |
Online Access: | http://dx.doi.org/10.1155/2018/3601604 |
id |
doaj-e812035b27e54235b9f1c66bb1ee2942 |
---|---|
record_format |
Article |
spelling |
doaj-e812035b27e54235b9f1c66bb1ee29422021-07-02T09:05:19ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2018-01-01201810.1155/2018/36016043601604Multistage Dynamic Packet Access Mechanism of Internet of ThingsYi Meng0Chen QingKui1Zhang Gang2School of Management, University of Shanghai for Science and Technology, Shanghai, ChinaSchool of Management, University of Shanghai for Science and Technology, Shanghai, ChinaSchool of Management, University of Shanghai for Science and Technology, Shanghai, ChinaIn the scenario of mass control commands requesting for network access, confined by the best-effort network service mode, it is easy to bring about resource competition and thus a phenomenon of access failure on major and urgent service request at the data access center for the Internet of Things. In this event, the dynamic diversification of control command is unable to access the necessary resources on a comparatively fair basis, causing low efficiency in heterogeneous resource utilization at the access center. This paper defines the problem of group request dynamic resource allocation and further converts it into the problem of 0-1 integer and linear programming and proposes a multistage dynamic packet access strategy. This strategy works first on dynamic group division on the users’ mass control requests using the high ability of self-organizing feature maps and then searches for the optimized matching resources based on the frog-leaping algorithm which has a better capacity for global searching for the best resources. This paper analyzes the feasibility of this strategy and its astringency. The experimental results demonstrate that the strategy can effectively improve the success rate of access to the data center for the Internet of Things and reduce network blockage and response delay.http://dx.doi.org/10.1155/2018/3601604 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yi Meng Chen QingKui Zhang Gang |
spellingShingle |
Yi Meng Chen QingKui Zhang Gang Multistage Dynamic Packet Access Mechanism of Internet of Things Mobile Information Systems |
author_facet |
Yi Meng Chen QingKui Zhang Gang |
author_sort |
Yi Meng |
title |
Multistage Dynamic Packet Access Mechanism of Internet of Things |
title_short |
Multistage Dynamic Packet Access Mechanism of Internet of Things |
title_full |
Multistage Dynamic Packet Access Mechanism of Internet of Things |
title_fullStr |
Multistage Dynamic Packet Access Mechanism of Internet of Things |
title_full_unstemmed |
Multistage Dynamic Packet Access Mechanism of Internet of Things |
title_sort |
multistage dynamic packet access mechanism of internet of things |
publisher |
Hindawi Limited |
series |
Mobile Information Systems |
issn |
1574-017X 1875-905X |
publishDate |
2018-01-01 |
description |
In the scenario of mass control commands requesting for network access, confined by the best-effort network service mode, it is easy to bring about resource competition and thus a phenomenon of access failure on major and urgent service request at the data access center for the Internet of Things. In this event, the dynamic diversification of control command is unable to access the necessary resources on a comparatively fair basis, causing low efficiency in heterogeneous resource utilization at the access center. This paper defines the problem of group request dynamic resource allocation and further converts it into the problem of 0-1 integer and linear programming and proposes a multistage dynamic packet access strategy. This strategy works first on dynamic group division on the users’ mass control requests using the high ability of self-organizing feature maps and then searches for the optimized matching resources based on the frog-leaping algorithm which has a better capacity for global searching for the best resources. This paper analyzes the feasibility of this strategy and its astringency. The experimental results demonstrate that the strategy can effectively improve the success rate of access to the data center for the Internet of Things and reduce network blockage and response delay. |
url |
http://dx.doi.org/10.1155/2018/3601604 |
work_keys_str_mv |
AT yimeng multistagedynamicpacketaccessmechanismofinternetofthings AT chenqingkui multistagedynamicpacketaccessmechanismofinternetofthings AT zhanggang multistagedynamicpacketaccessmechanismofinternetofthings |
_version_ |
1721333564186820608 |