The Adaptive Path Selection Mechanism for Solar-Powered Wireless Sensor Networks

In this work, we consider the normal large scale environment condition and the undulatory surface that support from solar power charging is limited. In this paper, we propose an adaptive path selection mechanism. The mechanism avoids sensor node having less lifetime issue when energy is insufficient...

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Bibliographic Details
Published inWireless personal communications Vol. 81; no. 3; pp. 1289 - 1301
Main Authors Horng, Gwo-Jiun, Wu, Hsin-Te
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.04.2015
Subjects
Charging
Communications Engineering
Computer Communication Networks
Computer simulation
Engineering
Networks
Neural networks
Remote sensors
Sensors
Signal,Image and Speech Processing
Solar energy
Solar power generation
Wireless networks
Solar power
Adaptive path selection
Sensor node
WSNs
Neural network
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Summary:In this work, we consider the normal large scale environment condition and the undulatory surface that support from solar power charging is limited. In this paper, we propose an adaptive path selection mechanism. The mechanism avoids sensor node having less lifetime issue when energy is insufficient by using neural network model to choose sensor, which has more remaining power and have stronger sunshine conditions (i.e., sunshine angle and time). The current study evaluates this approach’s performance by conducting computer simulations. Simulation results reveal the strengths of the proposed adaptive path selection mechanism in terms of increased lifetime and reduced sensors average battery charging time for solar-powered wireless sensor networks.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-014-2184-2