Performance enhancement of high-altitude platforms wireless sensor networks using concentric circular arrays

Albagory, Yasser; Said, Omar

doi:10.1016/j.aeue.2014.10.013

Cited by 12 publications

(4 citation statements)

References 21 publications

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“…In [45] the authors cover performance analysis on WSN integration between aerial platforms and satellites. Results indicate that an aerial platform's wireless sensors are preferred as their shortest PL compares favourably to satellites, and their LoS connectivity compares favourably to terrestrial systems, which contributes to reducing BER and improving power consumption from ground sensors.…”

Section: Performance Indicatorsmentioning

confidence: 99%

“…Considering aerial platforms in any emergency situations with an optimized propagation model is scarcely reported in the literature, let alone considering QoS and GoS. This section aims at first to introduce our physical model for re-establishing communications with aerial [14,18,25] MIMO limited consideration for diversity gain [38,44] QoS Various techniques to minimize power consumption [17,32,35] Trade-off between pathloss and power consumption to guarantee long lifespan connection for WSN [35,45] GoS -Lack of consideration for aerial platforms platforms in the immediate aftermath of a natural or man-made disaster and then set up an initial, non-optimized, ATG propagation model. Figure 1 illustrates through the use of the 3D Remcom Wireless InSite software tool our physical model in action.…”

Section: A Physical and Non-optimised Propagation Models Using Aerialmentioning

confidence: 99%

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Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Almalki

Angelides

2019

Computing

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Having reliable telecommunication systems in the immediate aftermath of a catastrophic event makes a huge difference in the combined effort by local authorities, local fire and police departments, and rescue teams to save lives. This paper proposes a physical model that links base stations that are still operational with aerial platforms and then uses a machine learning framework to evolve ground-to-air propagation model for such an ad hoc network. Such a physical model is quick and easy to deploy and the underlying air-to-ground (ATG) propagation models are both resilient and scalable and may use a wide range of link budget, grade of service (GoS), and quality of service (QoS) parameters to optimise their performance and in turn the effectiveness of the physical model. The prediction results of a simulated deployment of such a physical model and the evolved propagation model in an ad hoc network offers much promise in restoring communication links during emergency relief operations.

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Section: Performance Indicatorsmentioning

confidence: 99%

Section: A Physical and Non-optimised Propagation Models Using Aerialmentioning

confidence: 99%

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Almalki

Angelides

2019

Computing

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“…High Altitude Stratospheric Platforms (HASPs) have attracted great attention for many applications such as wireless and mobile data communications, surveillance, wireless data sensor networks, and many others such as digital video broadcasting [1][2][3][4]. HASP has shown in many studies a superior performance when adopted in communication systems compared with satellite and terrestrial communication systems [5] where the high possibility of line-of-sight propagation improves both signal strength and quality of reception.…”

Section: Introductionmentioning

confidence: 99%

Novel Applications of High Altitude Stratospheric Platforms for Traffic Management and Control

Albagory¹

2020

International Journal of Advanced Research in Computer and Comm

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This paper provides some novel applications of High Altitude Stratospheric Platforms (HASP) for traffic monitoring and management systems. A flying HASP in the stratosphere can provide large area coverage with improved communication performance and is candidate for many applications and scenarios such as flood monitoring, highway traffic monitoring and control, accurate localization of remote accidents, tracking of dangerous wanted vehicles and detection of road faults and floods. The system architecture of HASP for traffic management and control is demonstrated with the proposed applications showing the new provided capabilities and advantages such as localization of vehicles, long endurance operation, controlling of traffic lights over wide area by a single HASP, and efficient traffic data collection.

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“…HAPs are competitors with terrestrial and satellite systems, which make them good candidates for the next generation of communication systems. In addition, HAPs can act as a base station that can easily communicate with satellite systems using very tall antennas and can handle the increasing demand of broadband wireless access [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of a Dual Coverage System for Internet of Things Environments

Said

Tolba

2016

Mobile Information Systems

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A dual coverage system for Internet of Things (IoT) environments is introduced. This system is used to connect IoT nodes regardless of their locations. The proposed system has three different architectures, which are based on satellites and High Altitude Platforms (HAPs). In case of Internet coverage problems, the Internet coverage will be replaced with the Satellite/HAP network coverage under specific restrictions such as loss and delay. According to IoT requirements, the proposed architectures should include multiple levels of satellites or HAPs, or a combination of both, to cover the global Internet things. It was shown that the Satellite/HAP/HAP/Things architecture provides the largest coverage area. A network simulation package, NS2, was used to test the performance of the proposed multilevel architectures. The results indicated that the HAP/HAP/Things architecture has the best end-to-end delay, packet loss, throughput, energy consumption, and handover.

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Performance enhancement of high-altitude platforms wireless sensor networks using concentric circular arrays

Cited by 12 publications

References 21 publications

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Novel Applications of High Altitude Stratospheric Platforms for Traffic Management and Control

Performance Evaluation of a Dual Coverage System for Internet of Things Environments

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