標題: Optimal Tree Pruning for Location Update in Machine-to-Machine Communications
作者: Gau, Rung-Hung
Cheng, Ching-Pei
傳播研究所
Institute of Communication Studies
關鍵字: Machine-to-machine communications;mobility management;random walks over trees
公開日期: 1-六月-2013
摘要: In this paper, we propose a novel energy-and-memory efficient location update scheme for wireless M2M communications. According to information theory, in comparison with periodically registering to the Machine-Type Communications (MTC) server, it is more efficient for a MTC device to perform location updates only when new nodes are added into the corresponding parsing tree. Based on the theory of random walks over trees, we propose optimally pruning the parsing tree to minimize the expected value of the sum of the memory cost and the energy cost for a MTC device. We use both analytical results and simulation results to justify the usage of the proposed scheme.
URI: http://dx.doi.org/10.1109/TWC.2013.040413.112086
http://hdl.handle.net/11536/22304
ISSN: 1536-1276
DOI: 10.1109/TWC.2013.040413.112086
期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume: 12
Issue: 6
起始頁: 2620
結束頁: 2632
顯示於類別:期刊論文


文件中的檔案:

  1. 000321201200008.pdf