Energy Harvesting Wireless Sensor Networks
Journal article
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Publication Details
Subtitle: Design And Modeling
Publisher: Springer Verlag (Germany)
Publication year: 2014
Journal: Mobile Networks and Applications (1383-469X)
Volume number: 6
Issue number: 5
Start page: 17
End page: 31
Number of pages: 15
ISSN: 1383-469X
eISSN: 1572-8153
URL: file:///C:/Users/kethmoloi/Downloads/ijwmn02paperpublicationonwirelesssensornetwork.pdf
Languages: English-United States (EN-US)
Abstract
Wireless sensor nodes are usually deployed in not easily accessible places to provide solution to a widerange of application such as environmental, medical and structural monitoring. They are spatially distributed and as a result are usually powered from batteries. Due to the limitation in providing power with batteries, which must be manually replaced when they are depleted, and location constraints in wireless sensor network causes a major setback on performance and lifetime of WSNs. This difficulty inbattery replacement and cost led to a growing interest in energy harvesting. The current practice in energy harvesting for sensor networks is based on practical and simulation approach. The evaluation and validation of the WSN systems is mostly done using simulation and practical implementation. Simulation iswidely used especially for its great advantage in evaluating network systems. Its disadvantages such as thelong time taken to simulate and not being economical as it implements data without proper analysis of allthat is involved ,wasting useful resources cannot be ignored. In most times, the energy scavenged is directly wired to the sensor nodes. We, therefore, argue that simulation – based and practical implementation of WSN energy harvesting system should be further strengthened through mathematical analysis and design procedures. In this work, we designed and modeled the energy harvesting system for wireless sensor nodesbased on the input and output parameters of the energy sources and sensor nodes. We also introduced the use of supercapacitor as buffer and intermittent source for the sensor node. The model was further tested in a Matlab environment, and found to yield a very good approach for system design.
Keywords
Wireless Sensor Networks (WSNs); Mathematical Analysis; Energy Harvesting; Simulation.
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