AIDOA: An adaptive and energy-conserving indexing method for on-demand data broadcasting systems

Jiun-Long Huang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Since only a modest improvement in battery lifetime is expected in the next few years, energy conservation is raised as a key factor in the design of mobile devices. In view of this, we propose in this paper an energy-conserving on-demand data broadcasting system that employs the data indexing technique. Different from prior work, the power consumption of turning on and turning off the wireless network interfaces is considered. In addition, we also employ a server cache to reduce the effect of the time to retrieve data items from the corresponding data servers. Specifically, we first analyze the access and tuning times of data requests, and propose an Adaptive Index and Data Organizing Algorithm (AIDOA) to adjust the degree of buckets according to the system workload. Several experiments are then conducted to evaluate the performance of algorithm AIDOA. The experimental results show that algorithm AIDOA is able to greatly reduce the power consumption at the cost of a slight increase in the average access time and dynamically adjust the index and data organization to adapt to the change of system workload.

Original languageEnglish
Pages (from-to)331-345
Number of pages15
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Issue number2
StatePublished - 1 Mar 2008


  • Data indexing
  • Energy conservation
  • Mobile information system
  • On-demand data broadcasting

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