Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing

Amin Majd; Golnaz Sahebi; Masoud Daneshtalab; Juha Plosila; Hannu Tenhunen

doi:10.1109/PDP.2017.27

Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing

Amin Majd, Golnaz Sahebi, Masoud Daneshtalab, Juha Plosila, Hannu Tenhunen

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

Abstract

Recent advances in computing and sensor technologies have facilitated the emergence of increasingly sophisticated and complex cyber-physical systems and wireless sensor networks. Moreover, integration of cyber-physical systems and wireless sensor networks with other contemporary technologies, such as unmanned aerial vehicles (i.e. drones) and fog computing, enables the creation of completely new smart solutions. By building upon the concept of a Smart Mobile Access Point (SMAP), which is a key element for a smart network, we propose a novel hierarchical placement strategy for SMAPs to improve scalability of SMAP based monitoring systems. SMAPs predict communication behavior based on information collected from the network, and select the best approach to support the network at any given time. In order to improve the network performance, they can autonomously change their positions. Therefore, placement of SMAPs has an important role in such systems. Initial placement of SMAPs is an NP problem. We solve it using a parallel implementation of the genetic algorithm with an efficient evaluation phase. The adopted hierarchical placement approach is scalable, it enables construction of arbitrarily large SMAP based systems.

Original language	English
Title of host publication	2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
Publisher	IEEE Computer Society Conference Publishing Services (CPS)
ISBN (Electronic)	978-1-5090-6058-0
ISBN (Print)	978-1-5090-6059-7
DOIs	https://doi.org/10.1109/PDP.2017.27
Publication status	Published - 2017
Externally published	Yes
MoE publication type	A4 Article in a conference publication
Event	Euromicro International Conferences on Parallel, Distributed and Network-Based Processing - 25th Euromicro International Conferences on Parallel, Distributed and Network-Based Processing Duration: 6 Mar 2017 → 8 Mar 2017

Conference

Conference	Euromicro International Conferences on Parallel, Distributed and Network-Based Processing
Period	06/03/17 → 08/03/17

Access to Document

10.1109/PDP.2017.27

https://ieeexplore.ieee.org/document/7912640

Cite this

Majd, A., Sahebi, G., Daneshtalab, M., Plosila, J., & Tenhunen, H. (2017). Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing. In 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP) IEEE Computer Society Conference Publishing Services (CPS). https://doi.org/10.1109/PDP.2017.27

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title = "Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing",

abstract = "Recent advances in computing and sensor technologies have facilitated the emergence of increasingly sophisticated and complex cyber-physical systems and wireless sensor networks. Moreover, integration of cyber-physical systems and wireless sensor networks with other contemporary technologies, such as unmanned aerial vehicles (i.e. drones) and fog computing, enables the creation of completely new smart solutions. By building upon the concept of a Smart Mobile Access Point (SMAP), which is a key element for a smart network, we propose a novel hierarchical placement strategy for SMAPs to improve scalability of SMAP based monitoring systems. SMAPs predict communication behavior based on information collected from the network, and select the best approach to support the network at any given time. In order to improve the network performance, they can autonomously change their positions. Therefore, placement of SMAPs has an important role in such systems. Initial placement of SMAPs is an NP problem. We solve it using a parallel implementation of the genetic algorithm with an efficient evaluation phase. The adopted hierarchical placement approach is scalable, it enables construction of arbitrarily large SMAP based systems.",

author = "Amin Majd and Golnaz Sahebi and Masoud Daneshtalab and Juha Plosila and Hannu Tenhunen",

note = "Affilierad med TY. PB 2.3.18; Euromicro International Conferences on Parallel, Distributed and Network-Based Processing ; Conference date: 06-03-2017 Through 08-03-2017",

year = "2017",

doi = "10.1109/PDP.2017.27",

language = "English",

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booktitle = "2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)",

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Majd, A, Sahebi, G, Daneshtalab, M, Plosila, J & Tenhunen, H 2017, Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing. in 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). IEEE Computer Society Conference Publishing Services (CPS), Euromicro International Conferences on Parallel, Distributed and Network-Based Processing, 06/03/17. https://doi.org/10.1109/PDP.2017.27

Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing. / Majd, Amin; Sahebi, Golnaz; Daneshtalab, Masoud et al.
2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). IEEE Computer Society Conference Publishing Services (CPS), 2017.

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing

AU - Majd, Amin

AU - Sahebi, Golnaz

AU - Daneshtalab, Masoud

AU - Plosila, Juha

AU - Tenhunen, Hannu

N1 - Affilierad med TY. PB 2.3.18

PY - 2017

Y1 - 2017

N2 - Recent advances in computing and sensor technologies have facilitated the emergence of increasingly sophisticated and complex cyber-physical systems and wireless sensor networks. Moreover, integration of cyber-physical systems and wireless sensor networks with other contemporary technologies, such as unmanned aerial vehicles (i.e. drones) and fog computing, enables the creation of completely new smart solutions. By building upon the concept of a Smart Mobile Access Point (SMAP), which is a key element for a smart network, we propose a novel hierarchical placement strategy for SMAPs to improve scalability of SMAP based monitoring systems. SMAPs predict communication behavior based on information collected from the network, and select the best approach to support the network at any given time. In order to improve the network performance, they can autonomously change their positions. Therefore, placement of SMAPs has an important role in such systems. Initial placement of SMAPs is an NP problem. We solve it using a parallel implementation of the genetic algorithm with an efficient evaluation phase. The adopted hierarchical placement approach is scalable, it enables construction of arbitrarily large SMAP based systems.

AB - Recent advances in computing and sensor technologies have facilitated the emergence of increasingly sophisticated and complex cyber-physical systems and wireless sensor networks. Moreover, integration of cyber-physical systems and wireless sensor networks with other contemporary technologies, such as unmanned aerial vehicles (i.e. drones) and fog computing, enables the creation of completely new smart solutions. By building upon the concept of a Smart Mobile Access Point (SMAP), which is a key element for a smart network, we propose a novel hierarchical placement strategy for SMAPs to improve scalability of SMAP based monitoring systems. SMAPs predict communication behavior based on information collected from the network, and select the best approach to support the network at any given time. In order to improve the network performance, they can autonomously change their positions. Therefore, placement of SMAPs has an important role in such systems. Initial placement of SMAPs is an NP problem. We solve it using a parallel implementation of the genetic algorithm with an efficient evaluation phase. The adopted hierarchical placement approach is scalable, it enables construction of arbitrarily large SMAP based systems.

U2 - 10.1109/PDP.2017.27

DO - 10.1109/PDP.2017.27

M3 - Conference contribution

SN - 978-1-5090-6059-7

BT - 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)

PB - IEEE Computer Society Conference Publishing Services (CPS)

T2 - Euromicro International Conferences on Parallel, Distributed and Network-Based Processing

Y2 - 6 March 2017 through 8 March 2017

ER -

Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks using Fog Computing

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