Multi-objective cross-layer optimization for selection of cooperative path pairs in multihop wireless ad hoc networks

Nyoman Gunantara, Gamantyo Hendrantoro

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

This paper focuses in the selection of an optimal path pair for cooperative diversity based on cross-layer optimization in multihop wireless ad hoc networks. Cross-layer performance indicators, including power consumption, signal-to-noise ratio, and load variance are optimized using multi-objective optimization (MOO) with Pareto method. Consequently, optimization can be performed simultaneously to obtain a compromise among three resources over all possible path pairs. The Pareto method is further compared to the scalarization method in achieving fairness to each resource. We examine the statistics of power consumption, SNR, and load variance for both methods through simulations. In addition, the complexity of the optimization of both methods is evaluated based on the required computing time.

Original languageEnglish
Pages (from-to)170-177
Number of pages8
JournalJournal of Communications Software and Systems
Volume9
Issue number3
DOIs
Publication statusPublished - Sept 2013

Keywords

  • Multi-objective optimization
  • Multihop wireless ad hoc networks
  • Pareto method
  • Scalarization method
  • Selection of the path pair

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