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Resource Allocation and Outage Control for Solar-Powered WLAN Mesh Networks

Published: 01 August 2007 Publication History

Abstract

In this paper, resource allocation and outage control are considered for solar-powered WLAN mesh networks. Solar-powered nodes are a very cost effective option in WLAN mesh deployments where continuous power sources are not practical. In such nodes, the cost of the solar panel and battery can be a significant fraction of the total and, therefore, reducing AP power consumption is very important. A solar panel/battery configuration methodology is introduced based on a proposed AP power-aware version of IEEE 802.11. Public meteorological data is used to provision each node based on an averaged offered capacity profile. Since a node is configured statistically, it is possible that future loading may result in nonzero outage even when negligible outage is the design target. Control algorithms are introduced which can improve node outage performance by sometimes introducing an access point capacity deficit. Results are presented which show the value of the proposed configuration methodology and show that the control algorithms can prevent outage even at high levels of excess loading.

References

[1]
IEEE Standard 802.11s, ESS Mesh Networking, IEEE, 2004.
[2]
IEEE Standard 802.11, Wireless LAN Medium Access Control (MAC) and Physical Layer Specifications, IEEE, 1997.
[3]
“HPWREN: High Performance Wireless Research and Education Network,” Univ. of California, San Diego, http://hpwren.ucsd. edu/solar.html/, 2007.
[4]
T. Voigt, H. Ritter, and J. Schiller, “Utilizing Solar Power in Wireless Sensor Networks,” Proc. 28th Ann. IEEE Int'l Conf. Local Computer Networks, pp. 416-422, 2003.
[5]
T. Voigt, A. Dunkels, J. Alonso, H. Ritter, and J. Schiller, “Solar-Aware Clustering in Wireless Sensor Networks,” Proc. Ninth Int'l Symp. Computers and Comm. (ISCC '04), pp. 238-243, 2004.
[6]
J. Schiller, A. Liers, H. Ritter, R. Winter, and T. Voigt, “ScatterWeb—Low Power Sensor Nodes and Energy Aware Routing,” Proc. 38th Ann. Hawaii Int'l Conf. System Sciences (HICSS '05), pp. 286-286, 2005.
[7]
A. Kansal and M.B. Srivastava, “An Environmental Energy Harvesting Framework for Sensor Networks,” Proc. Int'l Symp. Low Power Electronics and Design (ISLPED '03), pp. 481-486, 2003.
[8]
M. Matsuda, “Traffic Information Collection System Powered by Solar Cells,” Proc. IEEE/IEEJ/JSAI Int'l Conf. Intelligent Transportation Systems, pp. 870-873, 1999.
[9]
F. Zhang, T.D. Todd, D. Zhao, and V. Kezys, “Power Saving Access Points for IEEE 802.11 Wireless Network Infrastructure,” Proc. IEEE Wireless Comm. and Networking Conf. (WCNC '04), Mar. 2004.
[10]
L. Narvarte and E. Lorenzo, “On the Usefulness of Stand-Alone PV Sizing Methods,” Progress in Photovoltaics: Research and Applications, vol. 8, pp. 391-409, 2000.
[11]
H.A.M. Maghraby, M.H. Shwehdi, and G.K. Al-Bassam, “Probabilistic Assessment of Photovoltaic (PV) Generation System,” IEEE Trans. Power Systems, vol. 17, no. 1, pp. 205-208, 2002.
[12]
L.L. Bucciarelli, “The Effect of Day-to-Day Correlation in Solar Radiation on the Probability of Loss of Power in a Stand-Alone Photovoltaic Energy System,” Solar Energy, vol. 36, no. 1, pp. 11-14, 1986.
[13]
L.L. Bucciarelli, “Estimating Loss-of Power Probabilities of Stand-Alone Photovoltaic Solar Energy Systems,” Solar Energy, vol. 32, no. 2, pp. 205-209, 1984.
[14]
F.M. Safie, “Probabilistic Modeling of Solar Power Systems,” Proc. Ann. Symp. Reliability and Maintainability pp. 425-430, 1989.
[15]
I. Abouzahr and R. Ramakumar, “Loss of Power Supply Probability of Stand-Alone Photovoltaic Systems: A Closed Form Solution Approach,” IEEE Trans. Energy Conversion, vol. 6, no. 1, pp. 1-11, 1991.
[16]
U. Grasselli, “Probabilistic Design of High Quality Power Supply Photovoltaic Systems,” Proc. Industrial and Commercial Power Systems Technical Conf., 1993.
[17]
B.S. Borowy and Z.M. Salameh, “Optimum Photovoltaic Array Size for a Hybrid Wind/PV System,” IEEE Trans. Energy Conversion, vol. 9, no. 3, pp. 482-488, 1994.
[18]
S. Saengthong and S. Premrudeepreechacham, “A Simple Method in Sizing Related to the Reliability Supply of Stand-Alone Photovoltaic Systems,” Proc. 28th IEEE Photovoltaic Specialists Conf., pp. 1630-1633, 2000.
[19]
D. Macomber, “Optimizing Residential Photovoltaic System Size Using Approximate Reasoning,” Proc. First Int'l Symp. Uncertainty Modeling and Analysis, pp. 558-563, 1990.
[20]
M. Bouzguenda and S. Rahman, “Energy Management Onboard the Space Station—A Rule-Based Approach,” IEEE Trans. Aerospace and Electronic Systems, vol. 27, no. 2, pp. 302-310, 1991.
[21]
P.E. Baikie, M.I. Gillibrand, and K. Peters, “The Effect of Temperature and Current Density on the Capacity of Lead-Acid Battery Plates,” Electrochimica Acta, vol. 17, pp. 839-844, 1972.
[22]
Z.M. Salameh, M.A. Casacca, and W.A. Lynch, “A Mathematical Model for Lead-Acid Batteries,” IEEE Trans. Energy Conversion, vol. 7, no. 1, pp. 93-98, 1992.
[23]
A. Pesaran and V. Johnson, “Battery Thermal Models for Hybrid Vehicle Simulations,” J. Power Sources, vol. 110, pp. 377-382, 2002.
[24]
“National Solar Radiation Data Base,” Nat'l Renewable Energy Laboratory (NREL), US Dept. of Energy, http://rredc.nrel.gov/solar/, 2004.
[25]
“National Climate Data and Information Archive,” The Meteorological Service of Canada, http://www.climate.weatheroffice. ec.gc.ca/, 2004.
[26]
Y. Li, T.D. Todd, and D. Zhao, “Access Point Power Saving in Solar/Battery Powered IEEE 802.11 ESS Mesh Networks,” Proc. Second Int'l Conf. Quality of Service in Heterogeneous Wired/Wireless Networks (QShine), Aug. 2005.
[27]
IEEE 802.11e, Part 11: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Medium Access Control (MAC) Quality of Service (QoS) Enhancements, IEEE, 2005.
[28]
M.A. Abdelrahman and M.A. Elhadidy, “Comparison of Calculated and Measured Values of Total Radiation on Tilted Surfaces in Dhahran, Saudi Arabia,” Solar Energy, vol. 37, pp. 239-243, 1986.
[29]
R. Perez and R. Stewart, “Solar Irradiance Conversion Models,” Solar Cells, vol. 18, pp. 213-222, 1986.

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  • (2016)A traffic load balancing framework for software-defined radio access networks powered by hybrid energy sourcesIEEE/ACM Transactions on Networking10.1109/TNET.2015.240457624:2(1038-1051)Online publication date: 1-Apr-2016
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Published In

cover image IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing  Volume 6, Issue 8
August 2007
142 pages

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 August 2007

Author Tags

  1. IEEE 802.11
  2. WLAN mesh
  3. Wireless LANs
  4. access point
  5. multihop communications.
  6. power saving
  7. solar power

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  • (2018)Novel lifetime routing metric for IEEE 802.11 wireless mesh networksInternational Journal of Ad Hoc and Ubiquitous Computing10.5555/3233110.323311128:1(1-12)Online publication date: 1-Jan-2018
  • (2017)Network Utility Aware Traffic Load Balancing in Backhaul-Constrained Cache-Enabled Small Cell Networks with Hybrid Power SuppliesIEEE Transactions on Mobile Computing10.1109/TMC.2017.265246416:10(2819-2832)Online publication date: 30-Aug-2017
  • (2016)A traffic load balancing framework for software-defined radio access networks powered by hybrid energy sourcesIEEE/ACM Transactions on Networking10.1109/TNET.2015.240457624:2(1038-1051)Online publication date: 1-Apr-2016
  • (2015)Rechargeable router placement based on efficiency and fairness in green wireless mesh networksComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2014.10.03578:C(83-94)Online publication date: 26-Feb-2015
  • (2015)The Adaptive Path Selection Mechanism for Solar-Powered Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-014-2184-281:3(1289-1301)Online publication date: 1-Apr-2015
  • (2015)Hybrid Placement of Internet Gateways and Rechargeable Routers with Guaranteed QoS for Green Wireless Mesh NetworksMobile Networks and Applications10.1007/s11036-015-0607-220:5(543-555)Online publication date: 1-Oct-2015
  • (2015)Energy Efficient Management for Wireless Mesh Networks with Green RoutersMobile Networks and Applications10.1007/s11036-015-0601-820:5(567-582)Online publication date: 1-Oct-2015
  • (2013)Real-World Energy Measurements of a Wireless Mesh NetworkRevised Selected Papers of the COST IC0804 European Conference on Energy Efficiency in Large Scale Distributed Systems - Volume 804610.1007/978-3-642-40517-4_18(218-232)Online publication date: 22-Apr-2013
  • (2011)Energy efficient monitoring for intrusion detection in battery-powered wireless mesh networksProceedings of the 10th international conference on Ad-hoc, mobile, and wireless networks10.5555/2032462.2032467(44-57)Online publication date: 18-Jul-2011
  • (2009)Managing traffic growth in solar powered wireless mesh networksProceedings of the 28th IEEE conference on Global telecommunications10.5555/1811982.1812049(4022-4027)Online publication date: 30-Nov-2009
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