Orientation-Aware Indoor Localization Path Loss Prediction Model for Wireless Sensor Networks

Topology control is an efficient approach which can reduce energy consumption for wireless sensor networks, and the current algorithms mostly focus on reducing the nodes’ energy consumption by power adjusting, but pay little attention to balance energy consumption of the whole network, which results in premature death of many nodes. Thus, a distributed topology control algorithm based on path-loss and residual energy (PRTC) is designed in this paper. This algorithm not only maintains the least loss links between nodes but also balances the energy consumption of the network. The simulation results show that the topology constructed by PRTC can preserve network connectivity as well as extend the lifetime of the network and provide good performance of energy consumption.

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An indoor path loss model for wireless sensor networks

International Journal of Ultra Wideband Communications and Systems ◽

10.1504/ijuwbcs.2018.092427 ◽

2018 ◽

Vol 3 (4) ◽

pp. 192 ◽

Cited By ~ 1

Author(s):

Mohammad Abdel Rahim ◽

Mohamed Hadi Habaebi ◽

Jalel Chebil ◽

Aisha Hassan A. Hashim ◽

Musse Mohamud Ahmed ◽

...

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Path Loss ◽

Wireless Sensor ◽

Loss Model ◽

Path Loss Model

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Path loss prediction model development in a mountainous forest environment

IEEE Open Journal of the Communications Society ◽

10.1109/ojcoms.2021.3122286 ◽

2021 ◽

pp. 1-1

Author(s):

Bilguunmaa Myagmardulam ◽

Tadachika Nakayama ◽

Kazuyoshi Takahashi ◽

Ryu Miura ◽

Fumie Ono ◽

...

Keyword(s):

Prediction Model ◽

Model Development ◽

Path Loss ◽

Forest Environment ◽

Loss Prediction ◽

Path Loss Prediction

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New empirical path loss model for wireless sensor networks in mango greenhouses

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2016.07.011 ◽

2016 ◽

Vol 127 ◽

pp. 553-560 ◽

Cited By ~ 15

Author(s):

Auda Raheemah ◽

Naseer Sabri ◽

M.S. Salim ◽

Phaklen Ehkan ◽

R. Badlishah Ahmad

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Path Loss ◽

Wireless Sensor ◽

Loss Model ◽

Path Loss Model

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Signal Propagation and Analysis in Wireless Underground Sensor Networks

International Journal of Engineering Research in Africa ◽

10.4028/www.scientific.net/jera.41.60 ◽

2019 ◽

Vol 41 ◽

pp. 60-78

Author(s):

Adamu Murtala Zungeru ◽

Joseph Chuma ◽

Mmoloki Mangwala ◽

Boyce Sigweni ◽

Oduetse Matsebe

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Magnetic Induction ◽

Signal To Noise Ratio ◽

Path Loss ◽

Signal Propagation ◽

Pulse Power ◽

Sensor Nodes ◽

Wireless Sensor ◽

Nonlinear Program

The most challenging issue in the design of wireless sensor networks for the application of localization in the underground environment, mostly for miner’s location, is the sensor nodes’ energy consumption, efficiency and communication. Underground Wireless Sensor Networks are active and promising area of application of Wireless Sensor Networks (WSNs), whereby sensor nodes perform sensing duties in the underground environment. Most of the communication techniques used in the underground environment experience a high path loss and hence, hinders the range needed for transmission. However, the available option to increase information transmission is to increase the transmission power which needs large size of apparatus which is also limited in the underground. To solve the mentioned problems, this paper proposed a Magnetic Induction based Pulse Power. Analytical results of the Magnetic Induction based Pulse Power with an ordinary magnetic induction communication technique show an improvement in Signal-to-Noise Ratio (SNR) and path loss with variation in distance between nodes and frequency of operation. This paper further formulates a nonlinear program to determine the optimal data (events) extraction in a grid based WUSNs.

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Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Applied Sciences ◽

10.3390/app10124374 ◽

2020 ◽

Vol 10 (12) ◽

pp. 4374

Author(s):

Seung-Hwan Kim ◽

Jae-Woo Kim ◽

Dong-Seong Kim

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Sensor Networks ◽

Channel Model ◽

Path Loss ◽

Wireless Sensor ◽

Amplify And Forward ◽

Decode And Forward ◽

International Telecommunication Union ◽

Better Than

In this paper, the eight schemes for aircraft wireless sensor networks are investigated, which are single-hop array beamforming schemes (including analog beamforming (ABF), and digital beamforming (DBF)), non-cooperative schemes (including single-hop and multi-hop schemes), cooperative schemes (including amplify and forward (AF), decode and forward (DF)), and incremental cooperative schemes (incremental decode and forward (IDF), and incremental amplify and forward (IAF)). To set up the aircraft wireless communication environment, we design the aircraft channel model by referring to the experimental parameters of the ITU (International Telecommunication Union)-R M.2283, which is composed of path loss, shadowing fading, and multi-path fading channel responses. To evaluate the performance, the conditions energy consumption and throughput analysis are performed. Through simulation results, the incremental cooperative scheme outperformed by 66.8% better at spectral efficiency 2 than the DBF scheme in terms of the energy consumption metric. Whereas, in terms of throughput metric, overall SNR (signal-to-noise ratio) ranged from −20 to 30 dB the beamforming scheme had the best performance in which the beamforming scheme at SNR 0 dB achieved 85.4% better than the multi-hop scheme. Finally, in terms of normalized throughput metric in low SNR range between −20 and 1 dB the ABF scheme had the best performance over the others in which the ABF at SNR 0 dB achieved 75.4% better than the multi-hop scheme. Whereas, in high SNR range between 2 and 30 dB the IDF scheme had the best performance in which the IDF at SNR 10 dB achieved 62.2% better than the multi-hop scheme.

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