@article{434,
  author = {Nils Hoeller, Christoph Reinke, Jana Neumann, Sven Groppe},
  title = {Dynamic  Approximative Caching Scheme for Energy Conservation in Wireless Sensor Networks},
  journal = {Journal of Networking Technology},
  year = {2011},
  volume = {2},
  number = {1},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v1n3/2.pdf},
  abstract = {The crucial issue in Wireless Sensor Networks is saving energy so that the lifetime of in-field deployments canbe extended. It was documented that the communication is generally the most energy consuming task and needs to bereduced in order to build resource-efficient long-term applications. It is evident that the communication demand forretrieving query results from deep within the sensor network is typically high. As a result, frequent non-continuous dataacquisition consumes a lot of energy and shortens the lifetime of the sensor network significantly. We address the issue ofoptimizations for processing high amounts of unique queries by using a dynamic adaptive caching scheme: the DACS. InDACS query results can be retrieved from caches that are placed nearer to the query source instead of sending queriesdeep into the network. The communication demand can be significantly reduced and the entire network lifetime isextended. To verify cache coherence in sensor networks with non-reliable communication channels, an approximativeupdate policy is used. To localize the adequate cache adaptively, model-driven queries including a degree of demandedresult quality can be defined. The entire logic is thereby processed by DACS and hidden to the user. We hav},
}