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Wireless sensor network (WSN) has attracted researchers worldwide to explore the research opportunities, with application mainly in health monitoring, industry automation, battlefields, home automation and environmental monitoring. A WSN is…

操作系统 · 计算机科学 2015-05-21 Alok Ranjan , H. B. Sahu , Prasant Misra

Since Particulate Matters (PMs) are closely related to people's living and health, it has become one of the most important indicator of air quality monitoring around the world. But the existing sensor-based methods for PM monitoring have…

图像与视频处理 · 电气工程与系统科学 2020-04-07 Yonghui Zhang , Ke Gu

From agriculture to mining, to energy, surface water quality monitoring is an essential task. As oil and gas operators work to reduce the consumption of freshwater, it is increasingly important to actively manage fresh and non-fresh water…

计算机视觉与模式识别 · 计算机科学 2023-07-25 Satish Kumar , Rui Kou , Henry Hill , Jake Lempges , Eric Qian , Vikram Jayaram

Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest. WSNs operate as stochastic systems because of randomness in the…

网络与互联网体系结构 · 计算机科学 2016-08-16 Mohammad Abu Alsheikh , Dinh Thai Hoang , Dusit Niyato , Hwee-Pink Tan , Shaowei Lin

Energy management is a crucial challenge in wireless sensor networks. To date, many techniques have been proposed to reduce energy consumption. Duty cycle methods reduce the energy consumption of wireless sensor networks since energy…

网络与互联网体系结构 · 计算机科学 2022-02-22 Mahta Moezzi , Parsa Emamdadi

Wireless Sensor Networks have emerged as one of the leading technologies. These networks are designed to monitor crucial environmental parameters of humidity, temperature, wind speed, soil moisture content, UV index, sound, etc. and then…

网络与互联网体系结构 · 计算机科学 2016-07-18 Aronee Dasgupta , Sahil Chakraborty , Astha Nachrani , Pritam Gajkumar Shah

Wireless Sensor Networks (WSNs) is an emerging technology in several application domains, ranging from urban surveillance to environmental and structural monitoring. Computational Intelligence (CI) techniques are particularly suitable for…

神经与进化计算 · 计算机科学 2018-10-08 Giovanni Iacca

Climate change may be classified as the most important environmental problem that the Earth is currently facing, and affects all living species on Earth. Given that air-quality monitoring stations are typically ground-based their abilities…

机器学习 · 计算机科学 2023-05-08 Andrew Rowley , Oktay Karakuş

This paper presents a performance evaluation of Wireless Sensor Networks (WSN) based on Impulse Radio Ultra Wideband (IR-UWB) over a new simulation platform developed for this purpose. The simulation platform is built on an existing network…

网络与互联网体系结构 · 计算机科学 2010-02-03 Aubin Lecointre , Abdoulaye Berthe , Daniela Dragomirescu , Robert Plana

Nowadays, the network and the Internet applications have gained a substantial importance in the digital world, due to the great impact which it provides for health and community services. Among the most important services that have been…

网络与互联网体系结构 · 计算机科学 2021-01-27 Yasameen Sajid Razoki , Muntasir Al-Asfoor

Air pollution is one of the most important causes of mortality in the world. Monitoring air pollution is useful to learn more about the link between health and pollutants, and to identify areas for intervention. Such monitoring is…

机器学习 · 计算机科学 2022-08-30 Sigrid Passano Hellan , Christopher G. Lucas , Nigel H. Goddard

Temporal drift of low-cost sensors is crucial for the applicability of wireless sensor networks (WSN) to measure highly local phenomenon such as air quality. The emergence of wireless sensor networks in locations without available reference…

网络与互联网体系结构 · 计算机科学 2021-11-19 Tiago Veiga , Erling Ljunggren , Kerstin Bach , Sigmund Akselsen

The purpose of a wireless sensor network (WSN) is to provide the users with access to the information of interest from data gathered by spatially distributed sensors. Generally the users require only certain aggregate functions of this…

密码学与安全 · 计算机科学 2021-09-14 Jaydip Sen

In wireless sensor networks (WSNs), utilizing the unmanned aerial vehicle (UAV) as a mobile data collector for the ground sensor nodes (SNs) is an energy-efficient technique to prolong the network lifetime. Specifically, since the UAV can…

信息论 · 计算机科学 2017-08-02 Cheng Zhan , Yong Zeng , Rui Zhang

Efficient and precise location of emission sources in an urbanized environment is very important in electronic warfare. Therefore, unmanned aerial vehicles (UAVs) are increasingly used for such tasks. In this paper, we present the…

信号处理 · 电气工程与系统科学 2025-03-25 Jan M. Kelner

A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure,…

其他计算机科学 · 计算机科学 2012-05-23 K. Sreedhar , Y. Sreenivasulu

The purpose of a wireless sensor network (WSN) is to provide the users with access to the information of interest from data gathered by spatially distributed sensors. Generally the users require only certain aggregate functions of this…

密码学与安全 · 计算机科学 2011-01-18 Jaydip Sen

Network congestion has become a critical issue for resource constrained Wireless Sensor Networks (WSNs), especially for Wireless Multimedia Sensor Networks (WMSNs)where large volume of multimedia data is transmitted through the network. If…

网络与互联网体系结构 · 计算机科学 2016-11-18 Arpita Chakraborty , Srinjoy Ganguly , Mrinal Kanti Naskar , Anupam Karmakar

Monitoring air pollution is of vital importance to the overall health of the population. Unfortunately, devices that can measure air quality can be expensive, and many cities in low and middle-income countries have to rely on a sparse…

Urban air pollution is a major environmental problem affecting human health and quality of life. Monitoring stations have been established to continuously obtain air quality information, but they do not cover all areas. Thus, there are…

机器学习 · 计算机科学 2021-08-17 Yuya Sasaki , Kei Harada , Shohei Yamasaki , Makoto Onizuka