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Author Yau, David K. Y. ♦ Lui, John C. S. ♦ Chakraborty, Srijan
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Wireless communication ♦ Energy efficiency ♦ Ad hoc network ♦ Movement prediction
Abstract Node movement can be exploited to reduce the energy consumption of wireless network communication. The strategy consists in delaying communication until a mobile node moves close to its target peer node, within an application-imposed deadline. We evaluate the performance of various heuristics that, based on the movement history of the mobile node, estimate an optimal time (in the sense of least energy use) of communication subject to the delay constraint. We evaluate the impact of node movement model, length of movement history maintained, allowable delay, single hop versus multiple hop communication, and size of data transfer on the energy consumption. We also present measurement results on an iPAQ pocket PC that quantify energy consumption in executing the prediction algorithms. Our results show that, with relatively simple and hence efficient prediction heuristics, energy savings in communication can significantly outweigh the energy expenses in executing the prediction algorithms.
Description Affiliation: Chinese University of Hong Kong, Shatin, Hong Kong (Lui, John C. S.) || Purdue University, West Lafayette, IN (Chakraborty, Srijan; Yau, David K. Y.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-10
Publisher Place New York
Journal ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number 31
Issue Number 1
Page Count 2
Starting Page 310
Ending Page 311


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Source: ACM Digital Library