Environmental-adaptive indoor radio path loss model for wireless sensor networks localization

2011 ◽  
Vol 65 (12) ◽  
pp. 1023-1031 ◽  
Author(s):  
Rong-Biao Zhang ◽  
Jian-Guang Guo ◽  
Fu-Huan Chu ◽  
Ye-Cheng Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Path Loss ◽  
Wireless Sensor ◽  
Loss Model ◽  
Path Loss Model ◽  
Radio Path ◽  
Indoor Radio

scholarly journals An indoor path loss model for wireless sensor networks

2018 ◽  
Vol 3 (4) ◽  
pp. 192 ◽  
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

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

2016 ◽  
Vol 127 ◽  
pp. 553-560 ◽  
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

scholarly journals An indoor path loss model for wireless sensor networks

2018 ◽  
Vol 3 (4) ◽  
pp. 192
Author(s):  
Alhareth Zyoud ◽  
Md Rafiqul Islam ◽  
Musse Mohamud Ahmed ◽  
Aisha Hassan A. Hashim ◽  
Jalel Chebil ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Path Loss ◽  
Wireless Sensor ◽  
Loss Model ◽  
Path Loss Model

Accurate Empirical Path-Loss Model Based on Particle Swarm Optimization for Wireless Sensor Networks in Smart Agriculture

2020 ◽  
Vol 20 (1) ◽  
pp. 552-561 ◽  
Author(s):  
Haider Mahmood Jawad ◽  
Aqeel Mahmood Jawad ◽  
Rosdiadee Nordin ◽  
Sadik Kamel Gharghan ◽  
Nor Fadzilah Abdullah ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Particle Swarm ◽  
Path Loss ◽  
Wireless Sensor ◽  
Swarm Optimization ◽  
Loss Model ◽  
Path Loss Model ◽  
Smart Agriculture

An Energy-Balance Based Distributed Topology Control Algorithm for Wireless Sensor Networks

2012 ◽  
Vol 490-495 ◽  
pp. 1392-1396 ◽  
Author(s):  
Chu Hang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Topology Control ◽  
Control Algorithm ◽  
Path Loss ◽  
Network Connectivity ◽  
Premature Death ◽  
Residual Energy ◽  
Wireless Sensor

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.

Signal Propagation and Analysis in Wireless Underground Sensor Networks

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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