Energy efficiency based on high performance particle swarm optimization: A case study

Ming Yi Liao, Chun Wei Tsai, Chu Sing Yang, Ming Chao Chiang, Chin Feng Lai

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Finding solutions to green manufacturing, green production, and increasing energy efficiency is definitely our responsibility to resist changing the vulnerable environment dramatically. Over the past, several practical techniques have been proposed to reduce the greenhouse gas emissions, e.g., increasing energy efficiency, reducing power usage, using sustainable energy, and recycling. This paper first gives a brief review of green computing and then presents a case study for energy efficiency called energy efficient particle swarm optimization (EEPSO). The proposed algorithm integrates particle swarm optimization and triangle inequality for improving energy efficiency of computers, by using the clustering results to adjust the CPU frequency of network management system. Simulation results show that not only can the proposed algorithm significantly reduce the computation time, but it can also be extended to enhance the performance of network traffic control system to further reduce the power they consume.

Original languageEnglish
Pages (from-to)1293-1304
Number of pages12
JournalTelecommunication Systems
Issue number2
Publication statusPublished - 2013 Feb 1

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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