Impact of Directional Antennas on Link Probability and Connectivity in Wireless Ad-Hoc Networks

Astudillo, Gabriel; Kadoch, Michel

doi:10.1109/ficloud.2015.60

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…There are several studies on Ad-hoc/sensor network connectivity [8,13,14], and cognitive radio network [15][16][17] , using omnidirectional and directional antenna models. More specifically, the authors in [18] reveal the importance of selecting the directional antenna model using a simple channel model which is tractable in the performance analysis.…”

Section: Related Workmentioning

confidence: 99%

“…Hence, one major problem is to obtain optimal bounds of network connectivity between battery-powered sensors and the intended base station which might be allocated far away from the transmission range of sensors. In other words, directional antennas are sensitive in terms of directional alignment and thus every sensor must steer its mainbeam to each other for a successful connectivity [8].…”

Section: Introductionmentioning

confidence: 99%

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Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors

Hasan

Al‐Rizzo

2020

Sensors

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The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) typically involves multihop relaying combined with sophisticated signal processing to serve as an information provider for several applications such as smart grids, industrial, and search-and-rescue operations. These applications entail deploying many sensors in environments that are often random which motivated the study of beamforming using random geometric topologies. This paper introduces a new algorithm for the synthesis of several geometries of Collaborative Beamforming (CB) of virtual sensor antenna arrays with maximum mainlobe and minimum sidelobe levels (SLL) as well as null control using Canonical Swarm Optimization (CPSO) algorithm. The optimal beampattern is achieved by optimizing the current excitation weights for uniform and non-uniform interelement spacings based on the network connectivity of the virtual antenna arrays using a node selection scheme. As compared to conventional beamforming, convex optimization, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), the proposed CPSO achieves significant reduction in SLL, control of nulls, and increased gain in mainlobe directed towards the desired base station when the node selection technique is implemented with CB.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors

Hasan

Al‐Rizzo

2020

Sensors

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“…It is shown that fading environment helps to increase the connectivity of AHNs. Topological connectivity of AHNs, where wireless nodes deploy directional antennas, is examined in [7,8,9,10,11]. The authors conclude that the application of the beamforming antenna leads to significant improvement in the multi-hop connectivity of AHNs.…”

Section: Introductionmentioning

confidence: 99%

“…In these works, it is assumed that all PUs and SUs are equipped with ominidirectional antennas. Although the effect of beamforming on the connectivity of AHNs was studied in the literature [7,8,9,10,11] and the applications of using directional antennas in AHNs and CRAHNs are presented in [17,18,19], to the best of our knowledge, no works on evaluating the connectivity of CRAHNs with beamforming have been carried out.…”

Section: Introductionmentioning

confidence: 99%

Impact of Beamforming on the Path Connectivity in Cognitive Radio Ad Hoc Networks

Dung

Tran

Choi

et al. 2017

Sensors

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This paper investigates the impact of using directional antennas and beamforming schemes on the connectivity of cognitive radio ad hoc networks (CRAHNs). Specifically, considering that secondary users use two kinds of directional antennas, i.e., uniform linear array (ULA) and uniform circular array (UCA) antennas, and two different beamforming schemes, i.e., randomized beamforming and center-directed to communicate with each other, we study the connectivity of all combination pairs of directional antennas and beamforming schemes and compare their performances to those of omnidirectional antennas. The results obtained in this paper show that, compared with omnidirectional transmission, beamforming transmission only benefits the connectivity when the density of secondary user is moderate. Moreover, the combination of UCA and randomized beamforming scheme gives the highest path connectivity in all evaluating scenarios. Finally, the number of antenna elements and degree of path loss greatly affect path connectivity in CRAHNs.

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Neighbor discovery and routing schemes for mobile ad-hoc networks with beamwidth adaptive smart antennas

Astudillo

Kadoch

2017

Telecommun Syst

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Impact of Directional Antennas on Link Probability and Connectivity in Wireless Ad-Hoc Networks

Cited by 4 publications

References 12 publications

Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors

Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors

Impact of Beamforming on the Path Connectivity in Cognitive Radio Ad Hoc Networks

Neighbor discovery and routing schemes for mobile ad-hoc networks with beamwidth adaptive smart antennas

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