Improved approximation algorithms for connected sensor cover

Stefan Funke, Alex Kesselman, Fabian Kuhn, Zvi Lotker, Michael Segal

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Wireless sensor networks have recently posed many new system building challenges. One of the main problems is energy conservation since most of the sensors are devices with limited battery life and it is infeasible to replenish energy via replacing batteries. An effective approach for energy conservation is scheduling sleep intervals for some sensors, while the remaining sensors stay active providing continuous service. In this paper we consider the problem of selecting a set of active sensors of minimum cardinality so that sensing coverage and network connectivity are maintained. We show that the greedy algorithm that provides complete coverage has an approximation factor no better than Ω(log n), where n is the number of sensor nodes. Then we present algorithms that provide approximate coverage while the number of nodes selected is a constant factor far from the optimal solution. Finally, we show how to connect a set of sensors that already provides coverage.

Original languageEnglish
Pages (from-to)153-164
Number of pages12
JournalWireless Networks
Volume13
Issue number2
DOIs
StatePublished - 1 Apr 2007

Keywords

  • Approximation algorithms
  • Sensing connected coverage

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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