Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach

Muzammil Behzad; Yao Ge

doi:10.1109/AINA.2017.131

Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach

Muzammil Behzad, Yao Ge

Department of Information and Computer Science

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

14 Scopus citations

Abstract

In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme incorporates dynamic sink mobility in a way that mobile sink moves from dense regions towards sparse regions. Intelligently moving the sink to high density regions ensure maximum collection of data. As more number of nodes are able to send data directly to the mobile sink, therefore, significant amount of energy is saved in each particular round. However, there is a certain limitation to this approach. Nodes which are far from sink have to wait much for their turn. So, there are chances of buffer overflow that is not desirable. To overcome this issue, our scheme includes NbC. Clustering (communication via cluster heads) becomes the part for those regions which are away from mobile sink. Most importantly, we deploy a collaborative communication scheme that significantly reduces the energy consumption and increases network lifespan. Simulation results show that DSM-NbC outperforms other protocols in terms of stability period, network lifetime and computational complexity.

Original language	English
Title of host publication	Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
Editors	Tomoya Enokido, Hui-Huang Hsu, Chi-Yi Lin, Makoto Takizawa, Leonard Barolli
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	749-756
Number of pages	8
ISBN (Electronic)	9781509060283
DOIs	https://doi.org/10.1109/AINA.2017.131
State	Published - 5 May 2017
Event	31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 - Taipei, Taiwan, Province of China Duration: 27 Mar 2017 → 29 Mar 2017

Publication series

Name	Proceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)	1550-445X

Conference

Conference	31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
Country/Territory	Taiwan, Province of China
City	Taipei
Period	27/03/17 → 29/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Cluster heads (CHs)
Compressed sensing (CS)
Coverage holes
Energy holes
Wireless sensor networks (WSNs)

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/AINA.2017.131

Cite this

Behzad, M., & Ge, Y. (2017). Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach. In T. Enokido, H.-H. Hsu, C.-Y. Lin, M. Takizawa, & L. Barolli (Eds.), Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 (pp. 749-756). Article 7920983 (Proceedings - International Conference on Advanced Information Networking and Applications, AINA). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AINA.2017.131

Behzad, Muzammil ; Ge, Yao. / Performance optimization in wireless sensor networks : a novel collaborative compressed sensing approach. Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017. editor / Tomoya Enokido ; Hui-Huang Hsu ; Chi-Yi Lin ; Makoto Takizawa ; Leonard Barolli. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 749-756 (Proceedings - International Conference on Advanced Information Networking and Applications, AINA).

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abstract = "In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme incorporates dynamic sink mobility in a way that mobile sink moves from dense regions towards sparse regions. Intelligently moving the sink to high density regions ensure maximum collection of data. As more number of nodes are able to send data directly to the mobile sink, therefore, significant amount of energy is saved in each particular round. However, there is a certain limitation to this approach. Nodes which are far from sink have to wait much for their turn. So, there are chances of buffer overflow that is not desirable. To overcome this issue, our scheme includes NbC. Clustering (communication via cluster heads) becomes the part for those regions which are away from mobile sink. Most importantly, we deploy a collaborative communication scheme that significantly reduces the energy consumption and increases network lifespan. Simulation results show that DSM-NbC outperforms other protocols in terms of stability period, network lifetime and computational complexity.",

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Behzad, M & Ge, Y 2017, Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach. in T Enokido, H-H Hsu, C-Y Lin, M Takizawa & L Barolli (eds), Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017., 7920983, Proceedings - International Conference on Advanced Information Networking and Applications, AINA, Institute of Electrical and Electronics Engineers Inc., pp. 749-756, 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017, Taipei, Taiwan, Province of China, 27/03/17. https://doi.org/10.1109/AINA.2017.131

Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach. / Behzad, Muzammil; Ge, Yao.
Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017. ed. / Tomoya Enokido; Hui-Huang Hsu; Chi-Yi Lin; Makoto Takizawa; Leonard Barolli. Institute of Electrical and Electronics Engineers Inc., 2017. p. 749-756 7920983 (Proceedings - International Conference on Advanced Information Networking and Applications, AINA).

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

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AU - Ge, Yao

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N2 - In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme incorporates dynamic sink mobility in a way that mobile sink moves from dense regions towards sparse regions. Intelligently moving the sink to high density regions ensure maximum collection of data. As more number of nodes are able to send data directly to the mobile sink, therefore, significant amount of energy is saved in each particular round. However, there is a certain limitation to this approach. Nodes which are far from sink have to wait much for their turn. So, there are chances of buffer overflow that is not desirable. To overcome this issue, our scheme includes NbC. Clustering (communication via cluster heads) becomes the part for those regions which are away from mobile sink. Most importantly, we deploy a collaborative communication scheme that significantly reduces the energy consumption and increases network lifespan. Simulation results show that DSM-NbC outperforms other protocols in terms of stability period, network lifetime and computational complexity.

AB - In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme incorporates dynamic sink mobility in a way that mobile sink moves from dense regions towards sparse regions. Intelligently moving the sink to high density regions ensure maximum collection of data. As more number of nodes are able to send data directly to the mobile sink, therefore, significant amount of energy is saved in each particular round. However, there is a certain limitation to this approach. Nodes which are far from sink have to wait much for their turn. So, there are chances of buffer overflow that is not desirable. To overcome this issue, our scheme includes NbC. Clustering (communication via cluster heads) becomes the part for those regions which are away from mobile sink. Most importantly, we deploy a collaborative communication scheme that significantly reduces the energy consumption and increases network lifespan. Simulation results show that DSM-NbC outperforms other protocols in terms of stability period, network lifetime and computational complexity.

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KW - Coverage holes

KW - Energy holes

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A2 - Hsu, Hui-Huang

A2 - Lin, Chi-Yi

A2 - Takizawa, Makoto

A2 - Barolli, Leonard

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 27 March 2017 through 29 March 2017

ER -

Behzad M, Ge Y. Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach. In Enokido T, Hsu HH, Lin CY, Takizawa M, Barolli L, editors, Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 749-756. 7920983. (Proceedings - International Conference on Advanced Information Networking and Applications, AINA). doi: 10.1109/AINA.2017.131

Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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