On Connectivity of Wireless Sensor Networks with Directional Antennas

Qiu Wang; Hong Ning Dai; Zibin Zheng; Muhammad Imran; Athanasios V. Vasilakos

doi:10.3390/s17010134

On Connectivity of Wireless Sensor Networks with Directional Antennas

Qiu Wang, Hong Ning Dai^*, Zibin Zheng, Muhammad Imran, Athanasios V. Vasilakos

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Journal article › peer-review

39 Citations (Scopus)

Abstract

In this paper, we investigate the network connectivity of wireless sensor networks with directional antennas. In particular, we establish a general framework to analyze the network connectivity while considering various antenna models and the channel randomness. Since existing directional antenna models have their pros and cons in the accuracy of reflecting realistic antennas and the computational complexity, we propose a new analytical directional antenna model called the iris model to balance the accuracy against the complexity. We conduct extensive simulations to evaluate the analytical framework. Our results show that our proposed analytical model on the network connectivity is accurate, and our iris antenna model can provide a better approximation to realistic directional antennas than other existing antenna models.

Original language	English
Article number	134
Number of pages	22
Journal	Sensors (Switzerland)
Volume	17
Issue number	1
DOIs	https://doi.org/10.3390/s17010134
Publication status	Published - 12 Jan 2017

Scopus Subject Areas

Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering

User-Defined Keywords

Connectivity
Directional antennas
Wireless sensor networks

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/s17010134

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title = "On Connectivity of Wireless Sensor Networks with Directional Antennas",

abstract = "In this paper, we investigate the network connectivity of wireless sensor networks with directional antennas. In particular, we establish a general framework to analyze the network connectivity while considering various antenna models and the channel randomness. Since existing directional antenna models have their pros and cons in the accuracy of reflecting realistic antennas and the computational complexity, we propose a new analytical directional antenna model called the iris model to balance the accuracy against the complexity. We conduct extensive simulations to evaluate the analytical framework. Our results show that our proposed analytical model on the network connectivity is accurate, and our iris antenna model can provide a better approximation to realistic directional antennas than other existing antenna models.",

keywords = "Connectivity, Directional antennas, Wireless sensor networks",

author = "Qiu Wang and Dai, {Hong Ning} and Zibin Zheng and Muhammad Imran and Vasilakos, {Athanasios V.}",

note = "The work described in this paper was supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3, National Key Research and Development Program (2016YFB1000101) and the National Natural Science Foundation of China (61472338). The authors extend their appreciation to the International Scientific Partnership Program ISPP at King Saud University for funding this research work through ISPP# 0033. The authors would like to thank Gordon K.-T. Hon for his excellent comments. Publisher Copyright: {\textcopyright} 2017 by the authors; licensee MDPI, Basel, Switzerland.",

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AU - Wang, Qiu

AU - Dai, Hong Ning

AU - Zheng, Zibin

AU - Imran, Muhammad

AU - Vasilakos, Athanasios V.

N1 - The work described in this paper was supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3, National Key Research and Development Program (2016YFB1000101) and the National Natural Science Foundation of China (61472338). The authors extend their appreciation to the International Scientific Partnership Program ISPP at King Saud University for funding this research work through ISPP# 0033. The authors would like to thank Gordon K.-T. Hon for his excellent comments. Publisher Copyright: © 2017 by the authors; licensee MDPI, Basel, Switzerland.

PY - 2017/1/12

Y1 - 2017/1/12

N2 - In this paper, we investigate the network connectivity of wireless sensor networks with directional antennas. In particular, we establish a general framework to analyze the network connectivity while considering various antenna models and the channel randomness. Since existing directional antenna models have their pros and cons in the accuracy of reflecting realistic antennas and the computational complexity, we propose a new analytical directional antenna model called the iris model to balance the accuracy against the complexity. We conduct extensive simulations to evaluate the analytical framework. Our results show that our proposed analytical model on the network connectivity is accurate, and our iris antenna model can provide a better approximation to realistic directional antennas than other existing antenna models.

AB - In this paper, we investigate the network connectivity of wireless sensor networks with directional antennas. In particular, we establish a general framework to analyze the network connectivity while considering various antenna models and the channel randomness. Since existing directional antenna models have their pros and cons in the accuracy of reflecting realistic antennas and the computational complexity, we propose a new analytical directional antenna model called the iris model to balance the accuracy against the complexity. We conduct extensive simulations to evaluate the analytical framework. Our results show that our proposed analytical model on the network connectivity is accurate, and our iris antenna model can provide a better approximation to realistic directional antennas than other existing antenna models.

KW - Connectivity

KW - Directional antennas

KW - Wireless sensor networks

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ER -

On Connectivity of Wireless Sensor Networks with Directional Antennas

Abstract

Scopus Subject Areas

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UN SDGs

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