Connectivity of Wireless Ad Hoc Networks: Impacts of Antenna Models

Wang, Qiu; Dai, Hong-Ning; Zhao, Qinglin

doi:10.1109/pdcat.2013.53

Cited by 4 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our previous paper [ 43 ], we conducted a preliminary study on the network connectivity in terms of the path probability. However, this paper is significantly different from our previous work [ 43 ] in the following aspects: (i) we investigate the network connectivity within a general theoretical framework, in which we consider the channel randomness and various directional antenna models; (ii) we analyze both the local connectivity (in Section 5 ) and the overall connectivity (in Section 6 ); (iii) we conduct extensive simulations to verify the effectiveness and the accuracy of our analytical model with consideration of both the local connectivity and the overall connectivity.…”

Section: Related Workmentioning

confidence: 99%

On Connectivity of Wireless Sensor Networks with Directional Antennas

Wang

Dai

Zheng

et al. 2017

Sensors

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Related Workmentioning

confidence: 99%

On Connectivity of Wireless Sensor Networks with Directional Antennas

Wang

Dai

Zheng

et al. 2017

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this model, the sector with angle represents the main lobe of the antenna, which has the maximum gain denoted by (where is also called the antenna beamwidth), and the circular part represents the side-lobes and back-lobes with lower antenna gain denoted by . In particular, when and are given [53,54], we can calculate as follows:…”

Section: Channel Modelmentioning

confidence: 99%

An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things

Wang

Dai

et al. 2016

Mobile Information Systems

Self Cite

View full text Add to dashboard Cite

The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers various channel conditions, including thepath loss, theshadow fading effect, andRayleigh fading effect. Besides, we also consider the eavesdroppers in WNoT equipped with either omnidirectional antennas or directional antennas. Extensive simulation results show that our model is accurate and effective to model the eavesdropping attacks in WNoT. Besides, our results also indicate that the probability of eavesdropping attacks heavily depends on the shadow fading effect, the path loss effect, Rayleigh fading effect, and the antenna models. In particular, we find that the shadow fading effect is beneficial to the eavesdropping attacks while both the path loss effect and Rayleigh fading effect are detrimental. Besides, using directional antennas at eavesdroppers can also increase the eavesdropping probability. Our results offer some useful implications on designing antieavesdropping schemes in WNoT.

show abstract

“…It was shown that the presence of fading could result in an improvement of overall connectivity. The connectivity of wireless AHNs where nodes are equipped with directional antennas was presented in [7,8,9,10]. In [7], the study was performed by using accurate, analytical antenna models, i.e., Uniform Linear Array (ULA) antenna and Uniform Circular Array (UCA) antenna.…”

Section: Introductionmentioning

confidence: 99%

“…Multi-hop connectivity of AHNs with antenna model given by cardioid function was mathematically investigated in [9]. Comparisons of the influences of various antenna models on the network connectivity of wireless AHNs were shown in [10].…”

Section: Introductionmentioning

confidence: 99%

Connectivity Analysis of Cognitive Radio Ad-Hoc Networks with Multi-Pair Primary Networks

Choi

2019

Sensors

View full text Add to dashboard Cite

In this paper, we study the connectivity of cognitive radio ad-hoc networks (CRAHNs) where primary users (PUs) and secondary users (SUs) are randomly distributed in a given area following a homogeneous Poisson process. Moreover, for the sake of more realistic CRAHNs, contrary to previous works in the literature, we consider the case that primary network is comprised of multiple communication pairs which are spatial-temporal distributed in the network area. We also take into consideration the differences in transmission range and interference range of both PUs and SUs. The connectivity of such CRAHN is studied from three viewpoints. First, we mathematically analyze the probability of isolated secondary transmitter and secondary receiver. Second, we derive the approximation expression of the link probability between two adjacent SUs. Third, we investigate the path connectivity between two arbitrary SUs by using the simulation analysis approach. The correctness of our mathematical expressions is confirmed by comparing analytical results with simulation results. The results in this paper provide insights into how multiple communication pairs in primary network affect the connectivity of secondary network, which can be useful guidelines for the design of CRAHNs.

show abstract

Connectivity of Wireless Ad Hoc Networks: Impacts of Antenna Models

Cited by 4 publications

References 15 publications

On Connectivity of Wireless Sensor Networks with Directional Antennas

On Connectivity of Wireless Sensor Networks with Directional Antennas

An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things

Connectivity Analysis of Cognitive Radio Ad-Hoc Networks with Multi-Pair Primary Networks

Contact Info

Product

Resources

About