Investigating signal propagation and strength distribution characteristics of wireless sensor networks in date palm orchards

2016 ◽  
Vol 124 ◽  
pp. 107-120 ◽  
Author(s):  
Yuan Rao ◽  
Zhao-hui Jiang ◽  
Naftali Lazarovitch
Author(s):  
Adamu Murtala Zungeru ◽  
Joseph Chuma ◽  
Mmoloki Mangwala ◽  
Boyce Sigweni ◽  
Oduetse Matsebe

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.


2012 ◽  
Vol 241-244 ◽  
pp. 1049-1055
Author(s):  
Jin Chao Xiao ◽  
Peng Zeng ◽  
Hua Liang Zhang ◽  
Dong Li

Recent advances in wireless sensor networks (WSNs) now witness the increased interest in the potential use in applications. Sensors are expected to be remotely deployed in large numbers and operate autonomously in unattended environments. In this paper, Ant-colony-based Geographic and Energy Balance Routing (AGEBR) was utilized to establish wireless sensor networks which had survival cycles. This Ant-colony-based routing can modify the geographic information based on the distribution characteristics of the ant colony algorithm, and finally achieve fast convergence and high efficiency. As a result, the sensor networks which did not have lasting energy supplement or only had limited energy complement could last a longer period without losing their sensing ability. Experimental results demonstrated that the proposed approach can keep balance of the network energy consumption, prolong the network lifetime, and enhance the successful sending rate without congestion.


2019 ◽  
Vol 12 (3) ◽  
pp. 159
Author(s):  
Adamu Murtala Zungeru ◽  
Joseph M. Chuma ◽  
Mmoloki Mangwala ◽  
Oduetse Matsebe ◽  
Sundarajan Subashini

2018 ◽  
Vol 11 (5) ◽  
pp. 213
Author(s):  
Adamu Murtala Zungeru ◽  
Joseph M Chuma ◽  
Mmoloki Mangwala ◽  
Oduetse Matsebe ◽  
Sundarajan Subashini

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