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Cross layer control for bounded shared state inconsistency in wireless IoT devices

Tärneberg, William LU ; Karaca, Mehmet LU ; Robertsson, Anders LU and Kihl, Maria LU (2017) 56th IEEE Annual Conference on Decision and Control, CDC 2017 In Conference on Decision and Control
Abstract
The devices that constitute the Internet of Things are evolving to include more than just enabling sensing and actuation over a wireless interface. In a contemporary scenario, these devices perform tasks and contribute to an aggregate information flow, in a distributed manner. In the wake of this evolution, new distributed Internet of Things frameworks have emerged. These frameworks maintain a distributed shared state in a distributed hash table. An Internet of Things system’s ability to make decisions autonomously and distributively de- pend on the level of consistency of the shared state. As wireless resources are scarce, the amount of deferred state information in each device is unknown when the system is highly utilised. In this paper,... (More)
The devices that constitute the Internet of Things are evolving to include more than just enabling sensing and actuation over a wireless interface. In a contemporary scenario, these devices perform tasks and contribute to an aggregate information flow, in a distributed manner. In the wake of this evolution, new distributed Internet of Things frameworks have emerged. These frameworks maintain a distributed shared state in a distributed hash table. An Internet of Things system’s ability to make decisions autonomously and distributively de- pend on the level of consistency of the shared state. As wireless resources are scarce, the amount of deferred state information in each device is unknown when the system is highly utilised. In this paper, we have developed a controller with the objective to achieve a bounded time-average of deferred state information in each device while maintaining system stability. The controller is derived using Lyapunov drift optimisation with penalty. The resulting controller can successfully bound the shared state consistency level within a narrow margin, maintain system stability, and balance the traffic flow trade-off more successfully than comparable and conventionally used methods. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Cloud, IoT, Lyapunov optimisation, Distributed computing, Performance, Stability, Flow control
in
Conference on Decision and Control
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
56th IEEE Annual Conference on Decision and Control, CDC 2017
external identifiers
  • scopus:85046259427
DOI
10.1109/CDC.2017.8264240
language
English
LU publication?
yes
id
b77516a2-fbd4-4253-81d1-5fda4f81373f
date added to LUP
2017-08-08 14:07:58
date last changed
2018-05-29 09:55:38
@inproceedings{b77516a2-fbd4-4253-81d1-5fda4f81373f,
  abstract     = {The devices that constitute the Internet of Things are evolving to include more than just enabling sensing and actuation over a wireless interface. In a contemporary scenario, these devices perform tasks and contribute to an aggregate information flow, in a distributed manner. In the wake of this evolution, new distributed Internet of Things frameworks have emerged. These frameworks maintain a distributed shared state in a distributed hash table. An Internet of Things system’s ability to make decisions autonomously and distributively de- pend on the level of consistency of the shared state. As wireless resources are scarce, the amount of deferred state information in each device is unknown when the system is highly utilised. In this paper, we have developed a controller with the objective to achieve a bounded time-average of deferred state information in each device while maintaining system stability. The controller is derived using Lyapunov drift optimisation with penalty. The resulting controller can successfully bound the shared state consistency level within a narrow margin, maintain system stability, and balance the traffic flow trade-off more successfully than comparable and conventionally used methods.},
  author       = {Tärneberg, William and Karaca, Mehmet and Robertsson, Anders and Kihl, Maria},
  booktitle    = {Conference on Decision and Control},
  keyword      = {Cloud,IoT,Lyapunov optimisation,Distributed computing,Performance,Stability,Flow control},
  language     = {eng},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Cross layer control for bounded shared state inconsistency in wireless IoT devices},
  url          = {http://dx.doi.org/10.1109/CDC.2017.8264240},
  year         = {2017},
}