AIDOA: An Adaptive and Energy-Conserving Indexing Method for On-Demand Data Broadcasting Systems

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

• Type: Journal
• Year: 2008
• Where: TSMC
• Authors: Jiun-Long Huang
• Keywords: Algorithm Aidoa, Energy-conserving On-demand Data, Power Consumption, TSMC 2008