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On Connectivity of Wireless Sensor Networks with Directional Antennas
Faculty of Information Technology, Macau University of Science and Technology, Macau.
Faculty of Information Technology, Macau University of Science and Technology, Macau.
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou .
College of Computer and Information Sciences, King Saud University.
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Number of Authors: 5
2017 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, no 1, E134Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 17, no 1, E134
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-61450DOI: 10.3390/s17010134ISI: 000393021000133PubMedID: 28085081Scopus ID: 2-s2.0-85009971523OAI: oai:DiVA.org:ltu-61450DiVA: diva2:1065556
Note

Validerad; 2017; Nivå 2; 2017-01-16 (andbra)

Available from: 2017-01-16 Created: 2017-01-16 Last updated: 2017-11-29Bibliographically approved

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Vasilakos, Athanasios

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