DocumentCode :
58771
Title :
Basic Performance Limits and Tradeoffs in Energy-Harvesting Sensor Nodes With Finite Data and Energy Storage
Author :
Srivastava, Rajesh ; Koksal, Can Emre
Author_Institution :
Wireless Connectivity Group, Broadcom Corp., Sunnyvale, CA, USA
Volume :
21
Issue :
4
fYear :
2013
fDate :
Aug. 2013
Firstpage :
1049
Lastpage :
1062
Abstract :
As many sensor network applications require deployment in remote and hard-to-reach areas, it is critical to ensure that such networks are capable of operating unattended for long durations. Consequently, the concept of using nodes with energy replenishment capabilities has been gaining popularity. However, new techniques and protocols must be developed to maximize the performance of sensor networks with energy replenishment. Here, we analyze limits of the performance of sensor nodes with limited energy, being replenished at a variable rate. We provide a simple localized energy management scheme that achieves a performance close to that with an unlimited energy source and at the same time keeps the probability of complete battery discharge low. Based on the insights developed, we address the problem of energy management for energy-replenishing nodes with finite battery and finite data buffer capacities. To this end, we give an energy management scheme that achieves the optimal utility asymptotically while keeping both the battery discharge and data loss probabilities low.
Keywords :
energy harvesting; energy management systems; energy storage; sensors; basic performance limits; battery discharge; data loss probabilities; energy replenishment capabilities; energy storage; energy-harvesting sensor nodes; energy-replenishing nodes; finite battery; finite data; finite data buffer capacities; hard-to-reach areas; localized energy management scheme; sensor network applications; sensor networks performance; Batteries; Convergence; Discharges (electric); Energy management; Polynomials; Signal to noise ratio; Upper bound; Energy harvesting; performance analysis; queueing analysis; stochastic processes;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2012.2218123
Filename :
6334454
Link To Document :
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