An Approach for the Reduction of Power Consumption in Sensor Nodes of Wireless Sensor Networks: Case Analysis of Mica2

  • Adriano B. da Cunha
  • Diógenes C. da SilvaJr.
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4017)


This paper presents a novel solution for the effective reduction of power consumption in sensor nodes of wireless sensor networks. Possible alternatives to reduce the power consumption in generic sensor nodes are presented. After, these alternatives are evaluated for a specific sensor node, the Crossbow Mica2. The case analysis for this sensor node showed that, among the possible alternatives to reduce the power consumption, the radio communication channel presented the best opportunity. A novel solution that integrates the transmitted signal power control with the received information quality is presented in a dynamic mechanism called Maximal Survival Capacity.


Power Consumption Sensor Node Wireless Sensor Network Transmission Power Power Management 
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  1. 1.
    Sinhá, A., Chandrakasan, A.: Dynamic power management in wireless sensor networks. IEEE Design and Test of Computers 19, 62–74 (2001)Google Scholar
  2. 2.
    Intel Corporation: Strongarm microprocessors (2005), Available on:
  3. 3.
    Atmel Corporation: Avr 8-bit risc (2005), Available on:
  4. 4.
    Texas Instruments: Msp430 microcontrollers (2005), Available on:
  5. 5.
    Srivastava, M.B.: Energy-aware wireless microsensor networks. IEEE Signal Processing Magazine 19, 40–50 (2002)CrossRefGoogle Scholar
  6. 6.
    Pillai, P., Shin, K.G.: Real-time dynamic voltage scaling for low-power embedded operating systems. In: Eighteenth ACM symposium on Operating systems principles, pp. 89–102 (2001)Google Scholar
  7. 7.
    Chandrakasan, A.: Power aware wireless microsensor systems. In: European Solid-State Circuits Conference (ESSCIRC), pp. 47–54 (2002)Google Scholar
  8. 8.
    Simunic, T., Benini, L., Acquaviva, A., Glynn, P., Micheli, G.D.: Dynamic voltage scaling and power management for portable systems. In: DAC 2001: Proceedings of the 38th conference on Design automation, pp. 524–529. ACM Press, New York (2001)CrossRefGoogle Scholar
  9. 9.
    Transmeta Corporation: Crusoe microprocessor (2005), Available on:
  10. 10.
    Simunic, T., Benini, L., Glynn, P., Micheli, G.D.: Event-driven power management. IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 20, 840–857 (2001)CrossRefGoogle Scholar
  11. 11.
    Benini, L., Bogliolo, A., Micheli, G.D.: A survey of design techniques for system-level dynamic power management. IEEE Transactions on VLSI Systems 8, 299–316 (2000)CrossRefGoogle Scholar
  12. 12.
    Schurgers, C., Aberthorne, O., Srivastava, M.: Modulation scaling for energy aware communication systems. In: ISLPED 2001: Proceedings of the 2001 international symposium on Low power electronics and design, pp. 96–99. ACM Press, New York (2001)CrossRefGoogle Scholar
  13. 13.
    Chipcon: Cc1000 (2005), Available on:
  14. 14.
    Chipcon: Cc2420 (2005), Available on:
  15. 15.
    Narayanaswamy, S., Kawadia, V., Sreenivas, R., Kumar, P.: Power control in ad-hoc networks: Theory, architecture, algorithm and implementation of the compow protocol. In: European Wireless, 2002. Next Generation Wireless Networks: Technologies, Protocols, Services and Applications, pp. 156–162 (2002)Google Scholar
  16. 16.
    Su, N.M., Park, H., Bostrom, E., Burke, J., Srivastava, M.B., Estrin, D.: Augmenting film and video footage with sensor data. In: PERCOM 2004: Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom 2004), p. 3. IEEE Computer Society, Los Alamitos (2004)CrossRefGoogle Scholar
  17. 17.
    Srivastava, A., Eustace, A.: Atom: A system for building customized program analysis tools. ACM SIGPLAN 39, 528–539 (2004)CrossRefGoogle Scholar
  18. 18.
    Agarwal, S., Krishnamurthy, S., Katz, R.H., Dao, S.K.: Distributed power control in ad-hoc wireless networks. In: Personal and Indoor Mobile Radio Communication (PIMRC 2001), pp. F59–F66 (2001)Google Scholar
  19. 19.
    Jung, E.S., Vaidya, N.H.: A power control mac protocol for ad hoc networks. In: MobiCom 2002: Proceedings of the 8th annual international conference on Mobile computing and networking, pp. 36–47 (2002)Google Scholar
  20. 20.
    Power Sources Review: Power sources for wireless sensor networks (2005), Available on:

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Adriano B. da Cunha
    • 1
  • Diógenes C. da SilvaJr.
    • 1
  1. 1.Dept. of Electrical EngineeringFederal University of Minas GeraisBelo HorizonteBrazil

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