Deep Learning Assisted Fixed Wireless Access Network Coverage Planning

Chu, Yi; Ahmadi, Hamed; Grace, David; Burns, David M.

doi:10.1109/access.2021.3108051

Cited by 3 publications

(2 citation statements)

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“…The Internet of Things (IoT) using sensors is widely used in smart cities [ 15 ]. In particular, the coverage-related problem [ 16 , 17 ] is a fundamental topic in WSNs to measure the monitoring quality of a sensor network deployed in a given region. Barrier coverage guarantees the detection of any intruder attempting to cross the barrier of sensor networks or penetrating the protected region.…”

Section: Related Workmentioning

confidence: 99%

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

Shao,

Wang,

et al. 2023

Sensors

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Barrier coverage is a fundamental application in wireless sensor networks, which are widely used for smart cities. In applications, the sensors form a barrier for the intruders and protect an area through intrusion detection. In this paper, we study a new branch of barrier coverage, namely warning barrier coverage (WBC). Different from the classic barrier coverage, WBC has the inverse protect direction, which moves the sensors surrounding a dangerous region and protects any unexpected visitors by warning them away from the dangers. WBC holds a promising prospect in many danger keep out applications for smart cities. For example, a WBC can enclose the debris area in the sea and alarm any approaching ships in order to avoid their damaging propellers. One special feature of WBC is that the target region is usually dangerous and its boundary is previously unknown. Hence, the scattered mobile nodes need to detect the boundary and form the barrier coverage themselves. It is challenging to form these distributed sensor nodes into a barrier because a node can sense only the local information and there is no global information of the unknown region or other nodes. To this end, in response to the newly proposed issue of the formation of barrier cover, we propose a novel solution AutoBar for mobile sensor nodes to automatically form a WBC for smart cities. Notably, this is the first work to trigger the coverage problem of the alarm barrier, wherein the regional information is not pre-known. To pursue the high coverage quality, we theoretically derive the optimal distribution pattern of sensor nodes using convex theory. Based on the analysis, we design a fully distributed algorithm that enables nodes to collaboratively move toward the optimal distribution pattern. In addition, AutoBar is able to reorganize the barrier even if any node is broken. To validate the feasibility of AutoBar, we develop the prototype of the specialized mobile node, which consists of two kinds of sensors: one for boundary detection and another for visitor detection. Based on the prototype, we conduct extensive real trace-driven simulations in various smart city scenarios. Performance results demonstrate that AutoBar outperforms the existing barrier coverage strategies in terms of coverage quality, formation duration, and communication overhead.

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Section: Related Workmentioning

confidence: 99%

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

Shao,

Wang,

et al. 2023

Sensors

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“…There are many algorithms for wireless networks such as coverage planning [4] and indoor optimization [5]. Several methods to optimize wireless coverage planning including deep learning assisted [6], graph-theoretical [7], and access points (AP) optimization [8]. The various wireless approaches based ISSN: 2088-8708  indoor localization consists of the fusion framework for multiple sensors [9], and a 2D surface correlation for location accuracy improvement [10].…”

Section: Introductionmentioning

confidence: 99%

Bio-inspired algorithm for decisioning wireless access point installation

Thitinaruemit

Sitjongsataporn

Prongnuch

2023

IJECE

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This paper presents the bio-inspired algorithms for decisioning wireless access point (AP) installation. In order to achieve the desired coverage capability of APs, the bio-inspired algorithms are applied for robust competition and optimization. The main objective is to determine the optimal number of APs with the high coverage capability in the concerning area using the genetic and ant colony optimization algorithms. Received signal strength indicator (RSSI) and line-of-sight (LoS) gradient approach are the most important parameters for AP installation depending on the AP signal strength. Practical experiments are tested on the embedded system using Xilinx Kria KR260 and Raspberry Pi Zero 2W boards at the tested room size about 16 m wide and 40 m long inside the building. Xilinx Kria KR260 board is used to calculate the number of AP installation and localization compared to Xcode. Then, Raspberry Pi Zero 2W board is the representation of wireless AP for measuring the signal in the testing area. Experiment results show that maximum received signals strength is equal to -35 dBm at 6 m and there are six APs installation with high coverage area and maximum received signal strength at the area of 16×40 m2.

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AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

Shao,

Wang,

et al. 2023

Preprint

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Barrier coverage is a fundamental application in wireless sensor networks, which is widely used to protect a region through intruder detection for smart city. In this paper, we study a new branch of barrier coverage, named warning barrier coverage (WBC). Different from the classic barrier coverage, WBC has the inverse protect direction, which protects unexpected visitors by warning them away from the region enclosed by sensor barriers. The WBC holds a promising prospect in many danger keep out applications for smart city. For example, a WBC can enclose the debris area in the sea and alarm any approaching ships in order to avoid their damaging propellers. One special feature of WBC is that the target region is usually dangerous and its boundary is previously unknown. Hence, the scattered mobile nodes need to detect the boundary and form the barrier coverage themselves. It is challenging to form these distributed sensor nodes into a barrier because a node can sense only the local information and there is no global information of the unknown region or other nodes. To this end, we propose a novel solution AutoBar for mobile sensor nodes to automatically form a WBC for smart city. To pursue the high coverage quality, we theoretically derive the optimal distribution pattern of sensor nodes using convex theory. Based on the analysis, we design a fully distributed algorithm that enables nodes to collaboratively move towards the optimal distribution pattern. In addition, AutoBar is able to reorganize the barrier even any node is broken. To validate the feasibility of AutoBar, we develop the prototype of the specialized mobile node, which consists of two kinds of sensors: one for boundary detection and another for visitor detection. Based on the prototype, we conduct extensive real trace driven simulations in various smart city scenarios. Performance results demonstrate that AutoBar outperforms the existing barrier coverage strategies in terms of coverage quality, formation duration, and communication overhead.

show abstract

Deep Learning Assisted Fixed Wireless Access Network Coverage Planning

Cited by 3 publications

References 40 publications

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

Bio-inspired algorithm for decisioning wireless access point installation

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City

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