Cross layer control for bounded shared state inconsistency in wireless IoT devices
(2017) 56th IEEE Annual Conference on Decision and Control, CDC 2017- 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/b77516a2-fbd4-4253-81d1-5fda4f81373f
- author
- Tärneberg, William LU ; Karaca, Mehmet LU ; Robertsson, Anders LU and Kihl, Maria LU
- organization
- publishing date
- 2017-12
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Cloud, IoT, Lyapunov optimisation, Distributed computing, Performance, Stability, Flow control
- host publication
- 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
- conference location
- Melbourne, Australia
- conference dates
- 2017-12-12 - 2017-12-15
- external identifiers
-
- scopus:85046259427
- DOI
- 10.1109/CDC.2017.8264240
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- yes
- id
- b77516a2-fbd4-4253-81d1-5fda4f81373f
- date added to LUP
- 2017-08-08 14:07:58
- date last changed
- 2022-05-02 21:32:33
@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}},
keywords = {{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 = {{https://lup.lub.lu.se/search/files/29319635/main.pdf}},
doi = {{10.1109/CDC.2017.8264240}},
year = {{2017}},
}