Adaptive Quality-Aware Replication in Wireless Sensor Networks

  • Jana Neumann
  • Christoph Reinke
  • Nils Hoeller
  • Volker Linnemann
Conference paper

DOI: 10.1007/978-3-642-10844-0_48

Part of the Communications in Computer and Information Science book series (CCIS, volume 56)
Cite this paper as:
Neumann J., Reinke C., Hoeller N., Linnemann V. (2009) Adaptive Quality-Aware Replication in Wireless Sensor Networks. In: Ślęzak D., Kim T., Chang A.CC., Vasilakos T., Li M., Sakurai K. (eds) Communication and Networking. Communications in Computer and Information Science, vol 56. Springer, Berlin, Heidelberg

Abstract

Typical sensor network deployments are usually built for long-term usage. Additionally, the sensor nodes are often exposed to harsh environmental influences. Due to these constraints, it is mandatory for applications to be able to compensate the failure of nodes. Providing a persistent storage even in the presence of failing nodes demands for replication within the sensor network. However, recent work in the field of replication in sensor networks often does not consider the suitability of the sensor nodes to store replicas in terms of e.g. available storage, energy or connectivity. In this paper, we envision an adaptive quality-aware replication scheme which enables the storage of replicas based on a scoring system reflecting the suitability of a replica node. Furthermore, we propose an adaptable data migration strategy using a weighting function to achieve an adequate placement for the replicas. A resilient storage strategy enables the survival of replicas after migration despite unpredictable node failures. We expect that our replication scheme highly increases the availability of sensor network data despite of node failures and network partitioning requiring only a small number of replicas within the network.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jana Neumann
    • 1
  • Christoph Reinke
    • 1
  • Nils Hoeller
    • 1
  • Volker Linnemann
    • 1
  1. 1.Institute of Information SystemsUniversity of LuebeckLuebeckGermany

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