Increasing Lifetime of Wireless Sensor Networks with Energy-Aware Role-Changing

  • Frank Reichenbach
  • Andreas Bobek
  • Philipp Hagen
  • Dirk Timmermann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3996)


Energy aware and robust self-organization is a challenging task in large, randomly deployed wireless sensor networks. In this paper, we achieve such a self-organization by introducing a hierarchical network structure and additionally roles that represent basic network functionalities like packet forwarding or data aggregation. These roles are exchanged between the participating nodes considering specific constraints. We are focusing on a long network lifetime, which strongly depends on the limited energy resources of each node. Therefore, the complex roles are released by nodes with critical battery levels and are assigned to nodes with more energy capacity left. With this approach, we achieve a uniform energy distribution over the whole network. Finally, we extend the overall lifetime of the network by 40% at continuous capability at all time. We demonstrate the proper function and the efficiency of the postulated protocol and we show its benefits by simulating an applicable “Forest Fire Scenario”.


Sensor Node Wireless Sensor Network Cluster Head Network Lifetime Target Node 
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.


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  1. 1.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Communications Magazine, 102–114 (August 2002)Google Scholar
  2. 2.
    Broch, J., Maltz, D.A., Johnson, D.B., Hu, Y.-C., Jetcheva, J.: A Performance Comparison of Multi-Hop Wireless ad-hoc Network Routing Protocols. In: Proceedings of the 4th Annual ACM/IEEE International Conference on Mobile Computing and Networking, pp. 85–97 (1998)Google Scholar
  3. 3.
    Charles, P.E., Pravin, B.: Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers. In: Proceedings of the conference on Communications architectures, protocols and applications, London, United Kingdom, pp. 234–244 (1994)Google Scholar
  4. 4.
    Heinzelmann, W., Chandrakasan, A., Balakrishnan, H.: Energyefficient Communication Protocols for Wireless Microsensor Networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, vol. 8, p. 8020 (2000)Google Scholar
  5. 5.
    Wu, J., Gao, M., Stojmenovic, I.: On calculating power-aware connected dominating sets for efficient routing in ad hoc wireless networks. In: Proceedings of the International Conference on Parallel Processing, pp. 346–356 (2001)Google Scholar
  6. 6.
    Kochhal, M., Schwiebert, L., Gupta, S.: Role-based hierarchical self organization for wireless ad hoc sensor networks. In: Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications, pp. 98–107 (2003)Google Scholar
  7. 7.
    Roemer, K., Frank, C., Marrón, P.J., Becker, C.: Generic Role Assignment for Wireless Sensor Networks. In: Proceedings of the 11th ACM SIGOPS European Workshop, pp. 7–12 (2004)Google Scholar
  8. 8.
  9. 9.
  10. 10.
  11. 11.
  12. 12.
  13. 13.
    Shnayder, V., Hempstead, M., Chen, R., Allen, G.W., Welsh, M.: Simulating the power consumption of large-scale sensor network applications. In: Proceedings of the 2nd international conference on Embedded networked sensor systems, Baltimore, MD, USA, pp. 188–200 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Frank Reichenbach
    • 1
  • Andreas Bobek
    • 1
  • Philipp Hagen
    • 1
  • Dirk Timmermann
    • 1
  1. 1.Germany Institute of Applied Microelectronics and Computer EngineeringUniversity of RostockRostock-WarnemuendeGermany

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