Minimizing the cost of mine selection via sensor networks

Changlei Liu, Guohong Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

In this paper, we study sensor enabled landmine networks by formulating a minimum-cost mine selection problem. The problem arises in a target defence scenario, where the objective is to destroy the intruding targets using the minimum-cost pre-deployed mines. Due to the problem complexity, we first transform it using a novel bucket-tub model, and then propose several approximation algorithms. Among them, it is shown that the layering algorithm can achieve an approximation ratio of α · f, where α ≥ 1 is the tunable relaxation factor and f is the maximum number of mines that a target is associated with, and that the greedy algorithm has an approximation ratio of Σ j Rj, where R j is the coefficient in the related integer program. We also present a localized greedy algorithm which is shown to produce the same solution set as the global greedy algorithm. Theoretical analysis and extensive simulations demonstrate the effectiveness of the proposed algorithms.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2009 - The 28th Conference on Computer Communications
Pages2168-2176
Number of pages9
DOIs
StatePublished - Oct 12 2009
Event28th Conference on Computer Communications, IEEE INFOCOM 2009 - Rio de Janeiro, Brazil
Duration: Apr 19 2009Apr 25 2009

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other28th Conference on Computer Communications, IEEE INFOCOM 2009
CountryBrazil
CityRio de Janeiro
Period4/19/094/25/09

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

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  • Cite this

    Liu, C., & Cao, G. (2009). Minimizing the cost of mine selection via sensor networks. In IEEE INFOCOM 2009 - The 28th Conference on Computer Communications (pp. 2168-2176). [5062141] (Proceedings - IEEE INFOCOM). https://doi.org/10.1109/INFCOM.2009.5062141