Bacterial foraging-based power allocation for cooperative wireless sensor networks

Mohammad Abdul Azim, Zeyar Aung, Mario E. Rivero-Angeles

Research output: Contribution to journalArticlepeer-review


Cooperative communication becomes a popular area of research due to its strength and wide application scope in wireless networking and communications. This technique improves the communication performance largely in capacity enhancement, energy-efficiency, timeliness and contention. Power allocation plays an important role in the cooperative communication paradigm to get the desired performance improvements in the aforementioned aspects. In this paper, we present a bacterial foraging optimization algorithm (BFOA)-based power allocation method for cooperative communications in wireless systems. Comparative measures with non-cooperative approaches are made to justify our proposed method.

Original languageBritish English
Pages (from-to)67-76
Number of pages10
JournalLecture Notes in Electrical Engineering
StatePublished - 2015


  • Bacterial Foraging
  • Constrained Optimization
  • Cooperative Communication
  • Signal Combining
  • Wireless Communications


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