Topology Analysis of Wireless Sensor Networks for Sandstorm Monitoring

Wang, P.; Sun, Zhi; Vuran, Mehmet C.; Al-Rodhaan, Mznah; Al-Dhelaan, Abdullah; Akyildiz, Ian F.

doi:10.1109/icc.2011.5963393

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…These conditions provide ample opportunities to intruders to execute their criminal intents (Wang, Sun, Vuran, et al, 2011;Emad, 2013).…”

Section: Utilisation Of Space Technology For Border Security Activitiesmentioning

confidence: 99%

Opportunities of Using Space Technology to Enhance Border Security in South Africa

Nkhoma¹,

Agbenyegah²

2021

IJICC

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The failure of the South African border security authorities to provide effective border security continues to be a national security concern. The inability to provide effective border security is due to factors such as ineffective methods of controlling and monitoring the borders. The aim of this study was to examine the practicability of employing space technology to address identified border security constraints. The study focused on border security authorities and the space technology sector in South Africa. To achieve this objective, a qualitative research methodology was used to ascertain the issues and constraints of border security in South Africa as well as the possibilities of utilising space technology to address border security constraints in South Africa. Findings indicate that there is a need to utilise space technology in South Africa to enhance the level of border security.

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“…These conditions provide ample opportunities to intruders to execute their criminal intents (Wang, Sun, Vuran, et al, 2011;Emad, 2013).…”

Section: Utilisation Of Space Technology For Border Security Activitiesmentioning

confidence: 99%

Opportunities of Using Space Technology to Enhance Border Security in South Africa

Nkhoma¹,

Agbenyegah²

2021

IJICC

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“…PM2.5 and PM10 consist of a variety of toxic and hazardous substances that can be breathed directly into the lungs and cause respiratory diseases, such as asthma and cardiovascular diseases [1,2]. A sandstorm, as a common natural disaster in northern China, jeopardizes the natural environment, national economy and people's health [2][3][4][5][6]. As can be seen from Figure 1, from 14th of March to the morning of the 15th of March 2021, affected by the cold air, one of the worst sand and dust storms from Mongolia in a decade hit the central and western parts of Gansu, Inner Mongolia, northern Shanxi, northern Hebei, Beijing, Tianjin and other places in China, with a large environmental and economic impact and harmed air quality for millions of people.…”

Section: Introductionmentioning

confidence: 99%

Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay Anomaly during Sandstorms in Northern China on 15th March 2021

et al. 2022

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On the 15th of March 2021, the strongest sandstorm in a decade occurred in northern China, and had a great adverse impact on the natural environment and human health in northern China. Real-time monitoring of dust storms is becoming increasingly important. In order to effectively analyze the non-hydrostatic delay (ZNHD) anomaly during a sandstorm, the method based on GNSS-derived tropospheric ZNHD residual to monitor the sandstorm is proposed at the same time. We studied the relationship between ZNHD/PWV and PM10/PM2.5 in Beijing, Changchun, Pingliang and Zhongwei before and after sandstorms. The ZNHD time series was then decomposed by singular spectrum analysis (SSA) and the residuals were obtained. The relationship between the GNSS-derived ZNHD residual and PM10 was analyzed. The results show that the impact of the sandstorm on PM10 is greater than that on PM2.5. Before the sandstorm, the correlation between PM10 and ZNHD was low, less than 0.25. When the sandstorm occurred, the correlation between PM10 and ZNHD increased significantly, and the maximum was greater than 0.7. When the sandstorm ended, the correlation between PM10 and ZNHD decreased significantly. Through the relationship between the ZNHD residual and PM10, it can be found that when the peak-to-peak values of the ZNHD residual are all above 80 mm, sandstorms may occur. But Rainfall, snowfall, haze and other abnormal weather can also lead to ZNHD anomalies.

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“…Temperature and absolute humidity can have a negative correlation with wireless received signal strength indication (RSSI) and packet reception rate (PRR) [6], [7]. Heavy dust and sandstorms can cause an increase in propagation path loss [8], [9]. Furthermore, wind and weak earthquakes can cause alignment errors between point to point line of sight communications between a sender and a receiver causing fading of the received signal [10].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Lifetime of IoT-Based Star and Mesh Networks

et al. 2020

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In this paper, we propose and analyze a novel optimization model to maximize the lifetime of Internet-of-Things (IoT) networks, including the Low Power Wide-Area Network (LPWAN) based Sigfox star networks and Time Slotted Channel Hopping (TSCH) mesh networks. An IoT cloud manages the IoT network adapting to sensed phenomenon changes in the deployment area retrieved from peered cloud-based environmental monitoring systems. While increasing the number of paths for IoT devices to cloud communication increases reliability, it also comes at the expense of increased energy consumption. We consider an optimization problem to determine the best redundancy level to be applied in the IoT network such that the lifetime is maximized while achieving the quality-of-service (QoS) requirements in the presence of unreliable sensing environments. Our model is generic and easily adaptable to a given IoT technology by considering the technology's devices, environmental, and protocol specifications while spanning single-hop, multi-hop, short-range, and long-range IoT technologies. We formulate the tradeoff between energy conservation vs. reliability of an IoT network as an Integer Non-Linear Programming (INLP) optimization problem. The feasibility of our approach in maximizing the lifetime of IoT networks for both the star and mesh network topologies is demonstrated using SigFox and TSCH as representative technologies, respectively. We conduct an extensive comparative performance analysis demonstrating that our model outperforms contemporary baseline models in both SigFox and TSCH IoT network technologies.

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Topology Analysis of Wireless Sensor Networks for Sandstorm Monitoring

Cited by 8 publications

References 15 publications

Opportunities of Using Space Technology to Enhance Border Security in South Africa

Opportunities of Using Space Technology to Enhance Border Security in South Africa

Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay Anomaly during Sandstorms in Northern China on 15th March 2021

Optimizing the Lifetime of IoT-Based Star and Mesh Networks

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