access icon free Energy management algorithm for solar-powered energy harvesting wireless sensor node for Internet of Things

The solar powered energy harvesting sensor node is a key technology for Internet of Things (IoT), but currently it offers only a small amount of energy storage and is capable of harvesting only a trivial amount of energy. Therefore, new technology for managing the energy associated with this sensor node is required. In particular, it is important to manage the transmission interval because the level of energy consumption during data transmission is the highest in the sensor node. If the proper transmission interval is calculated, the sensor node can be used semi-permanently. In this study, the authors propose an energy prediction algorithm that uses the light intensity of fluorescent lamps in an indoor environment. The proposed algorithm can be used to accurately estimate the amount of energy that will be harvested by a solar panel using a weighted average for light intensity. Then, the optimal transmission interval is calculated using the amount of predicted harvested energy and residual energy. The results from the authors’ experimental testbeds show that their algorithm's performance is better than the existing approaches. The energy prediction error of their algorithm is approximately 0.5%.

Inspec keywords: solar cell arrays; wireless sensor networks; Internet of Things; energy harvesting; telecommunication power management

Other keywords: fluorescent lamp light intensity; energy consumption level; transmission interval management; energy storage; optimal transmission interval; residual energy; solar panel; IoT; energy prediction error; solar-powered energy harvesting wireless sensor node; energy prediction algorithm; energy management algorithm; Internet of Things

Subjects: Energy harvesting; Computer communications; Solar cells and arrays; Photoelectric conversion; solar cells and arrays; Wireless sensor networks; Telecommunication systems (energy utilisation); Energy harvesting; Computer networks and techniques

References

    1. 1)
      • 3. Raghunathan, V., Kansal, A., Hsu, J., et al: ‘Design considerations for solar energy harvesting wireless embedded systems’. IEEE Int. Conf. on Information Processing in Sensor Networks, IPSN, 15 April 2005, pp. 457462.
    2. 2)
      • 10. Scavenger Transceiver Module STM300/STM300C User Manual v1.32, January 26, 2012.
    3. 3)
      • 7. Hassan, M., Bermak, A.: ‘Solar harvested energy prediction algorithm for wireless sensors’. Quality Electronic Design, 10–11 July 2012, pp. 178181.
    4. 4)
    5. 5)
      • 4. Vigorito, C.M.: ‘Adaptive control of duty cycling in energy harvesting wireless sensor networks’, IEEE Communications Society Conf. on Sensor, Mesh and Ad Hoc Communications and Networks, 18–21 June 2007, pp. 21–30, http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4292804.
    6. 6)
      • 6. Jiang, Z., Jin, X., Zhang, Y.: ‘A weather-condition prediction algorithm for solar-powered wireless sensor node’. Wireless Communications Networking and Mobile Computing, 23–25 September 2010, pp. 14.
    7. 7)
      • 2. Basagni, S., Naderi, M.Y., Petrioli, C., Spenza, D.: ‘Wireless sensor networks with energy harvesting’, in (Eds.): ‘Mobile Ad Hoc networking: cutting edge directions’ (2013, 2nd edn.).
    8. 8)
      • 11. EnOcean Platform. Available at: http://www.enocean.com/.
    9. 9)
      • 8. Noh, D.K., Kang, K.: ‘Balanced energy allocation scheme for a solar-powered sensor system and its effects on network-wide performance’. PMECT/CCCN, September, 2011, vol. 77, no. 5, pp. 917932.
    10. 10)
      • 5. Piorno, J.R., Bergonzini, C., Atienza, D., et al: ‘Prediction and management in energy harvested wireless sensor nodes’. Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems, VITAE, 17–20 May 2009, pp. 610.
    11. 11)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2015.0223
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