TY - JOUR
T1 - (AMDC) Algorithm for wireless sensor networks in the marine environment
AU - Mohsin, Rabab J
AU - Woods, John
AU - Al-Khalidi, Mohammed
PY - 2015/6/30
Y1 - 2015/6/30
N2 - Data compression is known today as one of the
most important enabling technologies that form the foundation
of the majority of data applications and networks as we know
them, including wireless sensor networks and the popular world
wide net (internet). Marine data networks are gaining increasing
interest in the research community due to the increasing request
for data services over the sea. There are a very narrow range
of available solutions because of the absence of infrastructure
over such vast water surfaces. We have previously proposed
applying MANET networks in the marine environment using
VHF technology available on the majority of ships and vessels
in order to gather different sensor data such as sea depth,
temperature, wind speed and direction, etc. and send it to a
central server to produce a public information map. We also
discusses the gains and drawbacks of our proposal including the
problem of low rate data transmission offered by VHF radio
limited to 9.6 Kbps. In this paper we investigate the application
of appropriate data quantization and compression techniques to
the marine sensor data collected in order to reduce the burden
on the channel links and achieve better transmission efficiency.
AB - Data compression is known today as one of the
most important enabling technologies that form the foundation
of the majority of data applications and networks as we know
them, including wireless sensor networks and the popular world
wide net (internet). Marine data networks are gaining increasing
interest in the research community due to the increasing request
for data services over the sea. There are a very narrow range
of available solutions because of the absence of infrastructure
over such vast water surfaces. We have previously proposed
applying MANET networks in the marine environment using
VHF technology available on the majority of ships and vessels
in order to gather different sensor data such as sea depth,
temperature, wind speed and direction, etc. and send it to a
central server to produce a public information map. We also
discusses the gains and drawbacks of our proposal including the
problem of low rate data transmission offered by VHF radio
limited to 9.6 Kbps. In this paper we investigate the application
of appropriate data quantization and compression techniques to
the marine sensor data collected in order to reduce the burden
on the channel links and achieve better transmission efficiency.
UR - https://www.mendeley.com/catalogue/fe383d1f-2dae-39ac-a8e3-14a76cc08089/
U2 - 10.14569/IJACSA.2015.060631
DO - 10.14569/IJACSA.2015.060631
M3 - Article (journal)
SN - 2156-5570
VL - 6
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
IS - 6
ER -