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Linear Programming Approaches to Optimization Problems of Energy Efficiency in Wireless Ad Hoc Networks

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

Abstract

Linear programming/integer linear programming (LP/ILP) is a powerful and remarkably versatile tool that is widely applied in business activities, industry manufacturing, military activities, information techniques, etc. The techniques of linear programming, for the most part, have been developed over the past four to five decades. There are three basic steps in the linear programming model of formulations: (1) determination of the decision variables, (2) formulation of objective, and (3) formulation of the constraints. Network optimization problems are a class of important applications of linear programming. Typically, the min-cut max-flow problem, the shortest path problem, and the minimum cost-flow problem can be formulated as linear programming problems. Furthermore, in addition to the traditional Simplex and Branch and Bound methods, there are some powerful software packages that can be used to compute LP/ILP, such as Mathematic, Matlab, LPSolver, etc.
Original languageEnglish
Title of host publicationHandbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks
PublisherCRC Press
Pages177-192
ISBN (Print)9780203323687, 9780849328329
DOIs
Publication statusPublished - 1 Jan 2005

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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