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Cache Placement in Sensor Networks Under Update Cost Constraint

  • Bin Tang
  • Samir Das
  • Himanshu Gupta
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3738)

Abstract

In this paper, we address an optimization problem that arises in context of cache placement in sensor networks. In particular, we consider the cache placement problem where the goal is to determine a set of nodes in the network to cache/store the given data item, such that the overall communication cost incurred in accessing the item is minimized, under the constraint that the total communication cost in updating the selected caches is less than a given constant. In our network model, there is a single server (containing the original copy of the data item) and multiple client nodes (that wish to access the data item). For various settings of the problem, we design optimal, near-optimal, heuristic-based, and distributed algorithms, and evaluate their performance through simulations on randomly generated sensor networks.

Keywords

Sensor Network Sensor Node Greedy Algorithm Data Item Steiner Tree 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Bin Tang
    • 1
  • Samir Das
    • 1
  • Himanshu Gupta
    • 1
  1. 1.Computer Science DepartmentStony Brook UniversityStony BrookUSA

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