Title
Mobility-Awareness: An Efficient Approach to Improve Energy Efficiency in Location-Aware Computing
Abstract
There are two principal aspects of "mobility" in location-aware computing: (1) how to support mobility and (2) how to exploit it. This paper considers the latter, while many existing works only concentrate on the former. This work is trying to prove that the performance of location-aware systems will be greatly improved by understanding the user's movement. In this paper, we propose a novel location update protocol called state-based location update protocol (SLUP), which significantly minimizes the energy consumption of mobile client by exploiting a syntactic information of a user's movement. This concept is called mobility-awareness which is a kind of context-awareness. Moreover, there are three variations of the proposed protocol in terms of how to choose the optimal state: SLUP/BS, SLUP/UITR, and SLUP/IUT $lt;Tiut$gt;. Experimental results show that the proposed protocol outperforms the well-known existing protocols such as dead-reckoning and distance-based protocol, and that the SLUP/IUT $lt;Tiut$gt; approach can achieve different performance tradeoffs between energy efficiency and location accuracy by fine-tuning its algorithmic parameter Tiut
Year
DOI
Venue
2006
10.1093/ietisy/e89-d.5.1662
IEICE Transactions
Keywords
Field
DocType
location accuracy,well-known existing protocol,efficient approach,energy consumption,proposed protocol,location-aware computing,different performance tradeoffs,existing work,distance-based protocol,state-based location update protocol,novel location update protocol,improve energy efficiency,energy efficiency,energy efficient
Computer science,Computer security,Sensor array,Artificial intelligence,Location aware,Distributed computing,Mobility awareness,Computer vision,Mobility management,Efficient energy use,Exploit,Context awareness,Energy consumption
Journal
Volume
Issue
ISSN
E89-D
5
1745-1361
Citations 
PageRank 
References 
2
0.45
0
Authors
3
Name
Order
Citations
PageRank
MoonBae Song112318.05
KwangJin Park217423.16
Ki-Sik Kong321920.04