• 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