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Road lighting energy-saving system based on wireless sensor network

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Abstract

An intelligent wireless sensor network that is designed to save road lighting energy, while maintaining traffic safety, is presented. It consists of an array of nodes that may be installed on both sides of the road, being mutually separated by a few tens to a few hundreds of meters. Each node consists of (i) vehicle detection subsystem, (ii) wireless communications and control subsystem for message exchange between the neighboring nodes, and (iii) lighting subsystem. During the day, nodes are inactive, while during the night, they turn to an active mode enabling detection of passing vehicles and timely activation of road lighting. Upon detection of a passing vehicle, the node generates a wireless message. Neighboring nodes that receive the wireless message will turn on their road lighting. In order to prevent driver distraction, each lamp will be turned on at a safe distance ahead of the moving vehicle. In order to improve energy efficiency, the lights will be dimmed or turned off behind the passing vehicle. The proposed road lighting energy-saving (RLES) system, which combines advanced sensor and wireless communication technologies, is suitable for implementation both with existing high-intensity discharge (HID) lamps and new light-emitting diode (LED) lamps. Our analysis shows that the RLES system will pay off in less than a year when used with HID lamps, while pay-back period is less than two and a half years when used with LEDs.

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References

  • A joint initiative of Australian, State and Territory and New Zealand Governments (2011). Street lighting strategy, Draft strategy paper, July 2011, available from http://www.energyrating.gov.au/wp-content/uploads/Energy_Rating_Documents/Library/Lighting/Street_Lighting/Draft-streetlight-Strategy.pdf, accessed on December 17, 2013.

  • Bakker, R., Hogema, J., Huiskamp, W., & Papp, Z. (2005). IRVIN—intelligent road and vehicle test infrastructure (pp. 947–952). Vienna (Austria): Proc. of the 8th International IEEE Conference on Intelligent Transportation Systems.

    Google Scholar 

  • Boyce, P. R., Fotios, S., & Richards, M. (2009). Road lighting and energy saving. Lighting Research and Technology, 41(3), 245–260.

    Article  Google Scholar 

  • Breitbart, Y., Garofalakis, M., Jai, B., Martin, C., Rastogi, R., & Silberschatz, A. (2004). Topology discovery in heterogeneous IP networks: the NetInventory system, IEEE/ACM Transactions on Networking, 12(3).

    Google Scholar 

  • Chen, W., Guha, R. K., Chennikara-Varghese, J., Pang, M., Vuyyuru, R. K., & Fukuyama, J. (2010). Context-driven disruption tolerant networking for vehicular applications. Jersey City: Proc. of IEEE Vehicular Networking Conference (VNC 2010).

    Book  Google Scholar 

  • Chui, M., Löffler, M., & Roberts, R. (2010). The Internet of things. McKinsey Quarterly.

  • Dunlop, J. (1998). Stand-alone photovoltaic lighting systems, FSEC-RR-54-98. Florida Solar Energy Center: University of Central Florida.

    Google Scholar 

  • Elejoste, P., Angulo, I., Perallos, A., Chertudi, A., García Zuazola, I. J., Moreno, A., Azpilicueta, L., Astrain, J. J., Falcone, F., & Villadangos, J. (2013). An easy to deploy street light control system based on wireless communication and LED technology. Sensors Journal, 13, 6492–6523.

    Article  Google Scholar 

  • Energy star (U.S. Department of Energy) (2011). available from http://www.energystar.gov/index.cfm?c=business.EPA_BUM_CH6_Lighting, accessed on May 21, 2011.

  • Gietelink, O. J. (2007). Design and validation of advanced driver assistance systems (Ph.D. Dissertation). Delft: Technical University of Delft.

    Google Scholar 

  • Hampshire County Council (2013). Street lighting, Policy Document (4th edition), available from http://www3.hants.gov.uk/street-lighting-policy-100930.pdf, accessed on December 17, 2013.

  • Holfelder, W. (2004). Vehicle-to-vehicle and vehicle-to-infrastructure communication: recent developments, opportunities and challenges. San Diego: Future Generation Software Architectures in the Automotive Domain.

    Google Scholar 

  • IEEE Std 802.15.4 (2003). IEEE Computer Society, October 2003.

  • IETF Work Group (2008). IPv6 over Low power WPAN (6LoWPAN), December 2008.

  • International Energy Agency (2006). Light’s labor’s lost, p.237. available from http://www.iea.org/publications/freepublications/publication/light2006.pdf, accessed on August 8, 2014.

  • Intersil ISL29003, (2008). Light-to-digital output sensor with high sensitivity, Datasheet, Intersil Corporation, August 2008.

  • Jenco Canada LED (2014). available from http://www.jencocanada.ca, accessed on July 15, 2014.

  • Ji, Y., & Wolsey, R. (1994). Dimming systems for high-intensity discharge lamps. Lighting Answers, Rensselaer Polytechnic Institute, 1(4), 1–8.

    Google Scholar 

  • Leccese, F. (2013). Remote-control system of high efficiency and intelligent street lighting using a ZigBee network of devices and sensors. IEEE Transactions on Power Delivery, 28(1), 21–28.

    Article  Google Scholar 

  • Lee, C. K., Li, S. N., & Hui, S. Y. (2011). A design methodology for smart LED lighting systems powered by weakly regulated renewable power grids. IEEE Transactions on Smart Grid, 2(3), 548–554.

    Article  Google Scholar 

  • Leotek Electronics, (2014). A municipal guide for converting to LED street lighting, available from http://www.leotek.com/education/documents/Leotek.LED.Streetlight.Guide.V7-101613.pdf, accessed on July 15, 2014.

  • Link layer topology discovery protocol specification (2006), Microsoft Corporation, September 2006.

  • Liu, C., Wang, Q., & Zhang, F. (2010). Design and development of city street-lighting energy-saving system (pp. 178–182). Beijing (China): Proc. of Second Pacific-Asia Conference on Circuits, Communications and System (PACCS 2010).

    Google Scholar 

  • Mathur, S., Jin, T., Kasturirangan, N., Chandrasekharan, J., Xue, W., Gruteser, M., & Trappe, W. (2010). ParkNet: drive-by sensing of road-side parking statistics. San Francisco: Proc. of Conference on Mobile Systems, Applications, and Services (MobiSys).

    Chapter  Google Scholar 

  • Motsinger, C. and Hubing, T. (2007). A review of vehicle-to-vehicle and vehicle-to-infrastructure initiatives, Technical Report CVEL-07-03, The Clemson University Vehicular Electronics Laboratory.

  • Parallax Inc. (2009). Product documentation, Parallax 555–28027, v1.4, 9/15/2009.

  • Rawat, D. B., Treeumnuk, D., Popescu, D. C., Abuelela, M., & Olariu, S. (2008). Challenges and perspectives in the implementation of the NOTICE architecture for vehicular communications. Atlanta: Proc. of IEEE Workshop on Mobile Vehicular Networks (MoVeNet 2008).

    Book  Google Scholar 

  • Samardžija, D., Kovač, E., Isailović, D., Miladinović, B., Teslić, N., & Katona, M. (2010). Road nail: intelligent road marking system testbed. Jersey City: Proc. of IEEE Vehicular Networking Conference (VNC 2010).

    Google Scholar 

  • Samardžija, D., Teslić, N., Todorović, B. M., Kovač, E., Isailović, D., & Miladinović, B. (2012). Road nail: experimental solar powered intelligent road marking system. Journal of Electrical Engineering - Elektrotechnický časopis, 63(2), 65–74.

    Google Scholar 

  • Santa, J., Gomez-Skarmeta, A. F., & Sanchez-Artigas, M. (2008). Architecture and evaluation of a unified V2V and V2I communication system based on cellular networks. Elsevier Computer Communications, 31, 2850–2861.

    Article  Google Scholar 

  • Smith, D., & Zhu, H. (1992). Properties of high-intensity discharge lamps operating on reduced power lighting systems. Journal of the Illuminating Engineering Society, 22, 27–39.

  • Sustainable Energy Authority of Ireland (2012). Energy efficiency & public lighting, Overview Report, available from http://www.seai.ie/Your_Business/Public_Sector/Best_Practice/Best_Practice_Guidance_Documents/Public Lighting report Feb 2012.pdf, accessed on December 17th, 2013.

  • Tan, Y. K., Huynh, T. P., Wang, Z., & 2. (2013). Smart personal sensor network control for energy saving in DC grid powered LED lighting system. IEEE Transactions on Smart Grid, 4, 669–676.

    Article  Google Scholar 

  • Tarte, Y., Amanna, A., & Okwudiafor, C. (2010). Experimental testbed for investigating IEEE 802.11 handoff in vehicular environment. Concord: Proc. of IEEE SoutheastCon.

    Google Scholar 

  • Terziyan, V., Kaykova, O., & Zhovtobryukh, D. (2010). UbiRoad: semantic middleware for context-aware smart road environments. Barcelona: Proc. of International Conference on Internet and Web Applications and Services (ICIW).

    Google Scholar 

  • Texas Instruments CC2530 (2009)”A true system-on-chip solution for 2.4-GHz IEEE 802.15.4 and ZigBee applications,” Datasheet, Texas Instruments Inc., April 2009.

  • Treat, J. R. (1980). A study of precrash factors involved in traffic accidents. HSRI Research Review, 10(6), 1–35.

    Google Scholar 

  • Treeumnuk, D., Popescu, D. C., & Olariu, S. (2009). Requirements for the physical layer of the NOTICE system for vehicular communications. Honolulu: Proc. of IEEE GLOBECOM.

    Google Scholar 

  • Tung, J. (2006). Enhanced test and verification capabilities using model-based design. SAE Technical Paper Series, 2006-01-1445.

  • Van Trees, H. L. (1968). Detection, estimation, and modulation theory I. New York: Wiley.

    MATH  Google Scholar 

  • Yu, T. H., Moon, Y. S., Chen, J., Fung, H. K., Ko, H. F., & Wang, R. (2009). An intelligent night vision system for automobiles. Yokohama, May: Proc. of IAPR Conference on Machine Vision Applications.

    Google Scholar 

Download references

Acknowledgments

This work was partially funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia under Grants TR-32030 and TR-36029. The authors wish to thank Peter Wolniansky of Radio Technology Systems LLC, the USA, for his help in preparing the final version of the paper.

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Authors and Affiliations

  1. RT-RK, Institute for Computer Based Systems, Narodnog fronta 23A, 21000, Novi Sad, Serbia

    Branislav M. Todorović

  2. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Dragan Samardžija

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  1. Branislav M. Todorović
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  2. Dragan Samardžija
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Correspondence to Branislav M. Todorović.

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Todorović, B.M., Samardžija, D. Road lighting energy-saving system based on wireless sensor network. Energy Efficiency 10, 239–247 (2017). https://doi.org/10.1007/s12053-016-9447-6

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