Energy-Efficient Resource Management Techniques in Wireless SensorNetworks

  • Xiao-Hui Lin
  • Yu-Kwong Kwok
  • Hui Wang
Part of the Computer Communications and Networks book series (CCN)


Devices in a wireless sensor network are typically powered by limited and sometimes unchargeable batteries, which are supposed to sustain for months or even years. To enhance the lifetime of a sensor network, highly efficient energy management techniques are mandatory, in order to successfully achieve the missions of the network. These techniques, however, involve all levels of the sensor system hierarchy in data processing and transmitting. Thus, energy awareness should be incorporated into every level of the system design and operation to maximize the lifetime and connectivity as much as possible. In this chapter, state-of-the-art techniques at each layer for optimizing the energy usage proposed in literature are introduced. To illustrate the efficacies of the approaches, design examples in reducing energy expenditure are also given as well. In addition, new thoughts in energy conservation by exploiting the interactions between different layers are presented. These new ideas could be effective in reducing the energy consumption.


Energy Efficiency Sensor Network Sensor Node Wireless Sensor Network Medium Access Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) A Survey on Sensor Networks. IEEE Communication Magazine 40:8, pp 102–Google Scholar
  2. 2.
    Carle J, Ryl DS (2004) Energy-Efficient Area Monitoring for Sensor Networks. IEEE Transactions on Computer 37:2, pp 40–Google Scholar
  3. 3.
    Heinzelman WR, Chandrakasan A, Balakrishnan H (2000) Energy Efficient Communication Protocol for Wireless Microsensor Networks. In: Proc. 33rd Annual Hawaii International Conference on System Sciences, pp 1–Google Scholar
  4. 4.
    Kwok YK (2007) Key Management in Wireless Sensor Networks. In: Y Xiao and Y Pan (eds), Security in Distributed and Networking Systems. World Scientific, LondonGoogle Scholar
  5. 5.
    Kwok YK, Lau KN (2007) Wireless Internet and Mobile Computing: Interoperability and Performance. Wiley, New YorkCrossRefGoogle Scholar
  6. 6.
    Lau KN, Kwok YK (2006) Channel Adaptive Technologies and Cross Layer Designs for Wireless Systems with Multiple Antennas: Theory and Application. Wiley, New YorkCrossRefGoogle Scholar
  7. 7.
    Lin XH, Kwok YK, Lau KN (2005) A Quantitative Comparison of Ad Hoc Routing Protocols with and Without Channel Adaptation. IEEE Transactions on Mobile Computing 4:2, pp 111–Google Scholar
  8. 8.
    Lin XH, Kwok YK, Wang H (2007) On Improving the Energy Efficiency of Wireless Sensor Networks Under Time-Varying Environment. In: Proc. of the 32nd IEEE Conference on Local Computer Networks (LCN), Dublin, IrelandGoogle Scholar
  9. 9.
    Lu G, Krishnamachari B, Raghavendra CS (2004) An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Wireless Sensor Networks. In: Proc. of IPDPS, pp 26–Google Scholar
  10. 10.
    Min R, Bhardwaj M, Cho SH (2002) Energy-Centric Enabling Technologies for Wireless Sensor Networks. IEEE Transactions on Wireless Communications 9:4, pp 28–Google Scholar
  11. 11.
    Modiana E (1999) An Adaptive Algorithm for Optimizing the Packet Size Used in Wireless ARQ Protocols. Wireless Networks 5:4, pp 279–Google Scholar
  12. 12.
    Pering T, Burd T, Broderson R (1998) The Simulation and Evaluation of Dynamic Voltage Scaling Algorithm. In: Proc. of International Symposium on Low Power Electronic and Design, pp 76–Google Scholar
  13. 13.
    Raghunathan V, Schurgers C, Parg S, Srivastava MB (2002) Energy-Aware Wireless Microsensor Networks. IEEE Transactions on Signal Processing 19:2, pp 40–Google Scholar
  14. 14.
    Sinha A, Chandrakasan A (2001) Dynamic Power Management in Wireless Sensor Networks. IEEE Transactions on Design and Test of Computer 18:2, pp 62–Google Scholar
  15. 15.
    Shakkottai S, Rappaprt TS (2003) Cross-Layer Design for Wireless Networks. IEEE Communication Magazine 41:10, pp 74–Google Scholar
  16. 16.
    Shih E, Cho SH, Ickes N, Min R (2001) Physical Layer Driven Protocol and Algorithm design for Energy-Efficient Wireless Sensor Networks. In: Proc. of ACM. MOBICOM 2001, Rome, ItalyGoogle Scholar
  17. 17.
    Shurgers C, Aberthorne O, Srivastava MB (2001) Modulation Scaling for Energy Aware Communication Systems. In: Proc. of ISLPED 2001, pp 96–Google Scholar
  18. 18.
    Srivastava V, Motani M (2005) Cross-Layer Design: A Survey and the Road Ahead. IEEE Transactions on Wireless Communications 43:12, pp 112–Google Scholar
  19. 19.
    Su W, Lim TL (2006) Cross-Layer Design and Optimization for Wireless Sensor Networks. In: Proc. of the Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel Computing, pp 23–Google Scholar
  20. 20.
    Ye W, Heidemann J, Estrin D (2002) An Energy-Efficient MAC Protocol for Wireless Sensor Networks. In: Proc. of INFOCOM, pp 1567–Google Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  • Xiao-Hui Lin
    • 1
  • Yu-Kwong Kwok
  • Hui Wang
  1. 1.Department of Communication EngineeringShenzhen UniversityGuangdongChina

Personalised recommendations