On the Construction of a Maximum-Lifetime Data Gathering Tree in Sensor Networks: NP-Completeness and Approximation Algorithm

Abstract

Energy efficiency is critical for wireless sensor networks. The data gathering process must be carefully designed to conserve energy and extend the network lifetime. For applications where each sensor continuously monitors the environment and periodically reports to a base station, a tree-based topology is often used to collect data from sensor nodes. In this work, we study the construction of a data gathering tree to maximize the network lifetime, which is defined as the time until the first node depletes its energy. The problem is shown to be NP-complete. We design an algorithm which starts from an arbitrary tree and iteratively reduces the load on bottleneck nodes (nodes likely to soon deplete their energy due to high degree or low remaining energy). We show that the algorithm terminates in polynomial time and is provably near optimal.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA517885

Entities

People

  • Ness B. Shroff
  • Sonia Fahmy
  • Yan Wu

Organizations

  • Purdue University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Calorific Value
  • Composite Materials
  • Computational Complexity
  • Computations
  • Computer Science
  • Computers
  • Construction
  • Detectors
  • Energy
  • Energy Consumption
  • Network Topology
  • Networks
  • Power Supplies
  • Sensor Networks
  • Simulations
  • Topology

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Facility/Structural Engineering.
  • Graph Algorithms and Convex Optimization.