Paper Info
Title
Semantization Improves the Energy Efficiency of Wireless Sensor Networks
Abstract
Wireless sensor networks(WSNs) have been increasingly available for large-scale applications in which energy efficiency is an important performance measure. These applications include environmental monitoring and structure monitoring which demand multifarious data. Driven by the energy limitation nature of WSNs lots of research works have been done in aspects such as nodes deployment, routing protocol, topology control, data reduction, sleep scheduling, etc. However, heterogeneous, i.e. hybrid sensor nodes are combined together into semantic sensor networks to provide large-scale applications with content rich information. In this paper, we discuss the potential of energy efficiency that semantization could bring to sensor networks. First we have an overview of some related work and then address current approaches of energy conservation in WSNs as well as how semantization can contribute in each aspect of saving energy. Finally a recommendatory architecture of semantic sensor network is proposed. Semantization will be a promising solution to improve energy efficiency together with system performance.
Year
DOI
Venue
2010
10.1109/WCNC.2010.5506384
WCNC
Keywords
Field
DocType
computer architecture,energy efficiency,routing protocol,wireless sensor network,sleep,energy conservation,semantics,sensor network,energy efficient,potential energy,network topology,routing protocols,system performance,data reduction,wireless sensor networks
Key distribution in wireless sensor networks,Energy conservation,Topology control,Computer science,Efficient energy use,Computer network,Real-time computing,Network topology,Mobile wireless sensor network,Wireless sensor network,Routing protocol
Conference
ISSN
ISBN
Citations 
1525-3511
978-1-4244-6396-1
2
PageRank 
References 
Authors
0.40
15
4
Name
Order
Citations
PageRank
Peng Liu123915.80
Y. Fun Hu247329.21
Geyong Min32089224.70
Guojun Dai447241.96