Cognitive Radio Based Environmental Health Monitoring and Regulation System for Toxic Gases

2019 ◽  
pp. 111-121
Author(s):  
Deependra Pandey
Keyword(s):  
Cognitive Radio ◽  
Environmental Health ◽  
Health Monitoring ◽  
Regulation System ◽  
Toxic Gases

Some international activities in environmental health monitoring and surveillance

1982 ◽  
Vol 1 (4) ◽  
pp. 387-404 ◽  
Author(s):  
V. B. Vouk ◽  
G. Ozolins ◽  
Y. Hasegawa ◽  
J. Pařizek
Keyword(s):  
Environmental Health ◽  
Health Monitoring ◽  
Monitoring And Surveillance ◽  
International Activities

scholarly journals Implementasi SIG Untuk Monitoring Kesehatan Lingkungan Studi Kasus Kelurahan Harapan Baru

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Husmul Beze ◽  
Hamka ◽  
Yulianto ◽  
Eva Nurmarini ◽  
Heriad Daud Salusu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Environmental Health ◽  
Health Monitoring ◽  
Human Life ◽  
Well Being ◽  
Geographic Information ◽  
Geographical Information ◽  
Gis Technology ◽  
Dense Area

Environmental health is an important factor in improving the health and well-being of human life and to prevent the dangers of disease. Environmental monitoring and engineering efforts need to be undertaken to meet these objectives. Harapan Baru Village is one of the villages in the Loa Janan Ilir District, Samarinda City, East Kalimantan Province. Harapan Baru Village is a fairly dense area. According to BPS data, Kota Samarinda in 2017 has a density of 4,304.34 inhabitants per km2. This kelurahan has problems in monitoring environmental health. Geographical information system (GIS) technology is currently developing rapidly. GIS can provide a monitoring model solution in environmental health countermeasures from a preventive side. For this reason, a study was conducted on environmental health monitoring in the Harapan Baru Village area using a web-based geographic information system. The method used to carry out the monitoring process is to use geographic information system tools, especially its spatial clustering analysis capabilities. The results showed that the GIS application of Environmental Health Monitoring in Harapan Baru was able to provide strong and up-to-date information about the environmental health conditions of residents. In particular, the system's ability to perform spatial queries by combining spatial and non-spatial attributes.

scholarly journals Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877400 ◽  
Author(s):  
Hassel Aurora Alcalá Garrido ◽  
Mario E Rivero-Angeles ◽  
Eleazar Aguirre Anaya ◽  
Felipe A Cruz-Perez ◽  
S Lirio Castellanos-Lopez ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Time Slot ◽  
Wireless Sensor ◽  
Primary System ◽  
Structural Health ◽  
Analytical Approaches

This article studies the performance of a wireless sensor network with cognitive radio capabilities to gather information about structural health monitoring of buildings in case of seismic activity. Since the use of the local area network is intensive in office and home environments, we propose the use of empty cellular channels (primary system). As such, the structural health monitoring does not degrade the local communications. Thus, the wireless sensor network for structural health monitoring acts as secondary network. Two discrete-time analytical approaches are proposed and developed to evaluate the system performance in terms of both the average packet delay and average energy consumption. The first one is an approximation suitable for the case when the time slot duration is small relative to the mean call inter-arrival time. The second model is accurate for any time slot duration and inter-arrival times.

scholarly journals Governmental Fiduciary Failure in Indigenous Environmental Health Justice: The Case of Pictou Landing First Nation

2020 ◽  
Vol 15 (1) ◽  
pp. 61-72
Author(s):  
Diana Lewis ◽  
Heather Castleden ◽  
Richard Apostle ◽  
Sheila Francis ◽  
Kimberly Francis-Strickland
Keyword(s):  
Environmental Health ◽  
First Nations ◽  
Health Monitoring ◽  
Fiduciary Duty ◽  
First Nation ◽  
Genital Organ ◽  
Respiratory Organ ◽  
Paper Mill Effluent ◽  
Cancer Data ◽  
Monitoring Committee

From 1967 until 2020, [Community] has had 85 million litres of pulp and paper mill effluent dumped every day into an estuary that borders the community. Despite long-term concerns about cancer in the community, a federal government appointed Joint Environmental Health Monitoring Committee, mandated to oversee the health of the community, has never addressed [Community] concerns. In this study we accessed the 2013 Canadian Cancer Registry microfile data, and using the standard geographical classification code, accessed the cancer data for [Community], and provided comparable data for all Nova Scotia First Nations, as well as the county, provincial, and national population level data. We determined that digestive organ cancers, respiratory organ cancers, male genital organ cancers, and urinary tract cancers are higher in [Community] than at all comparable levels. Female breast and genital organ cancers are lowest in [Community] than at all other comparable levels. We note the limitation of this study as not being able to capture cancer data for off-reserve members at the time of diagnosis and the lapse in availability of up-to-date CCR data. This study demonstrates that cancer data can be compiled for First Nation communities using the standard geographic code, and although not a comprehensive count of all diagnoses for the registered members of [Community], it is the first study to provide data for those who lived in [Community] at the time of diagnosis. Moreover, it highlights the lack of capacity (or will) by Joint Environmental Health Monitoring Committee to uphold their fiduciary duty.

scholarly journals Using data from a regional information fund of social and environmental health monitoring to assess human health risks in Lipetsk

2013 ◽  
pp. 41-51
Author(s):  
S.I. Savelyev ◽  
◽  
V.A. Bondarev ◽  
N.V. Nakhichevanskaja ◽  
M.F. Polyakova ◽  
...  
Keyword(s):  
Environmental Health ◽  
Human Health ◽  
Health Risks ◽  
Health Monitoring ◽  
Human Health Risks ◽  
Using Data

scholarly journals Primary User Emulation in Cognitive Radio-Enabled WSNs for Structural Health Monitoring: Modeling and Attack Detection

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Hassel Aurora Alcala’ Garrido ◽  
Mario E. Rivero-Angeles ◽  
Eleazar Aguirre Anaya
Keyword(s):  
Cognitive Radio ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Performance Metrics ◽  
Average Energy ◽  
Primary User ◽  
Attack Detection ◽  
Additional Tool ◽  
Structural Health ◽  
Primary User Emulation

Nowadays, the use of sensor nodes for the IoT is widespread. At the same time, cyberattacks on these systems have become a relevant design consideration in the practical deployment of wireless sensor networks (WSNs). However, there are some types of attacks that have to be prevented or detected as fast as possible, like, for example, attacks that put lives in danger. In this regard, a primary user emulation (PUE) attack in a structural health monitoring (SHM) system falls inside this category since nodes failing to report structural damages may cause a collapse of the building with no warning to people inside it. Building on this, we mathematically model an energy and resource utilization-efficient WSN based on the cognitive radio (CR) technique to monitor the SHM of buildings when a seismic activity occurs, making efficient use of scarce bandwidth when a PUE attack is in progress. The main performance metrics considered in this work are average packet delay and average energy consumption. The proposed model allows an additional tool for the prompt identification of such attacks in order to implement effective countermeasures.

Sign in / Sign up

Export Citation Format

Share Document