Evaluation of mobile microwave radiation severity at al-door residential complex in Iraq

Alwan, Younes S.; Zidan, Mohammad; Taha, Mohammed Qasim

doi:10.11591/ijeecs.v14.i3.pp1281-1285

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…Combining the reconstruction of the interference plus noise covariance matrix with the enhanced estimation of the required signal steering vector can overcome the problem of self-cancellation of the required signal at high SNR, while maintaining good performance at low SNR. This improves performance compared to existing methods and has a wide range of signal-to-interference and noise ratios [35]. In operation, multiple signals from a point source are received by the array.…”

Section: Introductionmentioning

confidence: 99%

Discrete interferences optimum beamformer in correlated signal and interfering noise

Singh

Yadav

et al. 2022

IJECE

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This paper introduces a significant special situation where the noise is a collection of D-plane interference signals and the correlated noise of D+1 is less than the number of array components. An optimal beamforming processor based on the minimum variance distortionless response (MVDR) generates and combines appropriate statistics for the D+1 model. Instead of the original space of the N-dimensional problem, the interference signal subspace is reduced to D+1. Typical antenna arrays in many modern communication networks absorb waves generated from multiple point sources. An analytical formula was derived to improve the signal to interference and noise ratio (SINR) obtained from the steering errors of the two beamformers. The proposed MVDR processor-based beamforming does not enforce general constraints. Therefore, it can also be used in systems where the steering vector is compromised by gain. Simulation results show that the output of the proposed beamformer based on the MVDR processor is usually close to the ideal state within a wide range of signal-to-noise ratio and signal-to-interference ratio. The MVDR processor-based beamformer has been experimentally evaluated. The proposed processor-based MVDR system significantly improves performance for large interference white noise ratio (INR) in the sidelobe region and provide an appropriate beam pattern.

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Section: Introductionmentioning

confidence: 99%

Discrete interferences optimum beamformer in correlated signal and interfering noise

Singh

Yadav

et al. 2022

IJECE

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“…There are various fields wherein the energy of sensor nodes consumed such as communication, sensing, processing, idleness and sleeping. Therefore, by managing these fields, the power of the nodes can be controlled [9]- [11]. The most critical problem is how the sensor nodes transmit their collected data to the BS.…”

Section: Introductionmentioning

confidence: 99%

Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs

Saleh

Abdulrahman

Salman

2021

IJEECS

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Wireless sensor networks are regarded as the most essential components of contemporary technologies since they are in charge of sensing and monitoring processes, which are the primary functions of these technologies. Because these nodes rely on an unchangeable battery and are randomly deployed in the environment, node energy management is the most essential issue to consider when designing algorithms to enhance the network's life. Clustering is a wireless sensor network (WSN) routing technique that has been implemented in order to extend network lifetime. Also, it is trendy to increase the energy levels of the node battery by utilizing various energy harvesting techniques in order to extend the network lifetime. In this paper, a new energy-aware clustering algorithm (EHEARA) has been proposed. The proposed algorithm is based on a dynamic clustering function and adopts a solar energy harvesting scheme in order to improve network lifetime. Furthermore, the active-sleep mechanism was used to distribute node activity and balance communication among nodes within clusters and cluster heads with the base station. The proposed algorithm is simulated using matrix laboratory (MATLAB), and the results show that it outperforms the low energy adaptive clustering hierarchy (LEACH), distributed energy efficient clustering (DEEC), and stable election protocol (SEP) algorithms in terms of network lifetime, energy consumption, and network throughput.

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“…The scientific world, motivated by the possible risk factor of EMP for the environment and human health and considering the high number of EM wave generating devices, is interested in knowing more about the pollution that the devices can generate [6][7][8][9]. Regarding the impact of EMP on the environment, in [10][11][12][13] it is suggested that radiation from mobile phones is one of the many factors speculated to be responsible for the collapse of bee colonies and the decline in the sparrow population, so there are serious indications that EMP can affect any living ecosystem such as the human.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic pollution maps as a resource for assessing the risk of emissions from mobile communications antennas

Garcés-Gómez¹,

Céspedes²,

Diaz-Cadavid³

2020

IJECE

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Electromagnetic pollution has taken on importance in recent decades, as interest is growing in knowing how the proliferation of mobile communication devices can affect the environment and generate health problems in the population. In this document, a systematic review of the methodologies for measuring electromagnetic radiation is carried out with a view to generating pollution profiles. It also develops a novel methodology for measuring electromagnetic pollution (EMP) in urban areas, and is validated with a case study using a map of EMP in the city of Manizales (Colombia), determining the spatial distribution of radiation levels. In order to generate the map, EMP measurements were carried out in the bands of local mobile telephone operators, in addition to the LPWAN (low power wide area network) LoRaWAN and Sigfox networks, Wi-Fi, and those related to IoT technologies.

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Evaluation of mobile microwave radiation severity at al-door residential complex in Iraq

Cited by 9 publications

References 7 publications

Discrete interferences optimum beamformer in correlated signal and interfering noise

Discrete interferences optimum beamformer in correlated signal and interfering noise

Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs

Electromagnetic pollution maps as a resource for assessing the risk of emissions from mobile communications antennas

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