An Analytical Approach to the Design of Energy Harvesting Wireless Sensor Nodes

Energy harvesting is one of the promising solutions to the problem of limited battery capacity in many wireless devices. This paper addresses the problem of system design of energy harvesting capable wireless devices in terms of the required sizes for energy and data buffers, as well as the size of...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2013-08, Vol.12 (8), p.4010-4024
Main Authors: Shenqiu Zhang, Seyedi, A., Sikdar, B.
Format: Article
Language:English
Subjects:
Applied sciences
Approximation methods
average delay
Battery
Delay
Delays
Design engineering
Detection, estimation, filtering, equalization, prediction
Devices
Energy harvesting
Energy storage
Exact sciences and technology
Harvesting
Information, signal and communications theory
Markov processes
Mathematical analysis
probability of loss
Queues
rechargeable sensors
Services and terminals of telecommunications
Signal and communications theory
Signal, noise
Stochastic models
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
Teletraffic
Wireless communication
Wireless sensor networks
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Summary:Energy harvesting is one of the promising solutions to the problem of limited battery capacity in many wireless devices. This paper addresses the problem of system design of energy harvesting capable wireless devices in terms of the required sizes for energy and data buffers, as well as the size of the harvester, for given delay and loss requirements. We analyze the performance of an energy harvesting node, considering a stochastic model that takes into account energy harvesting and event arrival processes. We derive closed-form expressions for the probability of event loss and the average queueing delay. Our event-driven continuous time simulations validate our analytical results. Employing these results, we provide a near-optimal approach to the design of the system in terms of sizing the energy harvesting device, the energy storage, and the event queue capacity.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2013.052213.121561