Title
Visoko-pouzdan prenos podataka kod bežičnih senzorskih mreža sa malom potrošnjom energije primenom 2D-SEC-DED tehnike kodiranja
Creator
Nikolić, Goran 1973-
Copyright date
2019
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 25.10.2019.
Other responsibilities
mentor
Jovanović, Goran 1963-
član komisije
Petrović, Branislav
član komisije
Mančić, Dragan
član komisije
Nikolić, Saša
član komisije
Krtolica, Predrag
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Nišu
Faculty
Elektronski fakultet
Group
Katedra za elektroniku
Alternative title
High-reliable data transfer in low-power wireless sensor networks using 2D-SEC-DED encoding technique
Publisher
(G. S. Nikolić)
Format
210 listova
description
Biografija autora: list [211];
Bibliografija: listovi 199-204.
description
Electronics
Abstract (en)
This dissertation deals with the challenges of energy efficiency in
systems with limited resources of homogeneous and heterogeneous
wireless sensory networks for data collection applications in real
environmentals. This research covers several fields from physical
layer optimization up to network layer solutions. The problem which
has to be solved is viewed from three different perspectives: the
energy profile of the nodes with a special emphasis on the activity of
the sensing block, the network protocol with a special focus on
finding an adequate coding technique that need to reduce or eliminate
the request for retransmission and evaluating the range of
transmission for the proposed encoding technique.
If energy efficiency in wireless sensor networks is formulated as a
load balancing problem then the power management unit can
significantly contribute to reduction in power consumption. Power
management is implemented by switching on/off individual subblocks
of the sensor node independently of the hardware platform. By
reducing energy consumption both an extension of the lifetime of the
sensor node and sensor network, is achieved. The obtained energy
profiles reveal significant differences in energy consumption of
wireless sensor nodes depending in terms of external sensors number,
resolution of the analog-to-digital converter, network traffic
dynamics, topology of the network, applied coding techniques,
operating modes and activities during the lifetime of the sensor node
and other factors.
In this sense, the application of combination of power aware
techniques, such as the duty-cycling at system-level, and power
gating at the level of sensor elements, i.e. sensors, is proposed. An
evaluation of the approach shows that energy consumption reduction
three orders of magnitude on average can be achieved, when these
two techniques are incorporated into the sensor node.
On the other hand, in the wireless sensor networks, the choice of
coding scheme, i.e. channel coding depends on the application and
characteristics-, model-, type-errors appearing in the wireless channel.
For example, one encoding technique is preferred for use when burst
errors patterns are dominant, while another coding technique is more
acceptable in situations where noise causes random errors that are
either single or double in nature. Bearing this in mind, along with the
analysis of channel characteristics, in this dissertation, we propose a
new massage coding technique by which on extend traditional
protocols with aim to improve energy efficiency, while maintaining
high reliability in data transmission and low latency of message
transfer.
Namely, channel evaluation in wireless sensor networks used in
industry shows that most of the errors are of single or double nature,
and burst type errors are present, but rarely. In this context, in this
dissertation, an effective technique for correcting errors at a
destination (FEC) based on Hamming's coding scheme of relatively
low complexity, called Two Dimensional-Single Error Correction-
Double Error Detection (2D-SEC-DED) was developed. The
proposed encoding technique is intendet to minimize packet
retransmissions, thus saving energy. Evaluation of the proposed
encoding scheme shows that the code is able to correct all single
errors and 99.99% of double/multiple errors. The analysis was
carried out through the implementation, in MATLAB, of two versions
of Rendezvous Protocol for Long Life (RPLL), called Modified
RPLL (M-RPLL) and Ordinary RPLL (O-RPLL), respectively. The
energy gain achieved in this way is used to improve the performance
of wireless transmission, such as increasing of the transmission range.
As illustration, for indoor environment characterized by the path loss
exponent 4 at the target BER of 5 10 4 , the proposed encoding
scheme is able to improve the transmission distance by about 18 m ,
or the received signal strength (RSSI) by about 8.5 dBm compared to
wireless sensor networks with encoding schemes without possibility
to correct errors.
Authors Key words
Bežične senzorske mreže, Kodovi za korekciju greške na odredištu,
Energetska efikasnost, 2D SEC-DED šema kodiranja, Opseg predaje
Authors Key words
Wireless sensor networks, Forward error correcting codes, Energy
efficiency, 2D SEC-DED encoding scheme, Transmit range
Classification
004.78:621.38]:681.586:621.317.38(043.3)
Subject
004.78:621.38]:004.22(043.3)
Subject
T170
Type
Tekst
Abstract (en)
This dissertation deals with the challenges of energy efficiency in
systems with limited resources of homogeneous and heterogeneous
wireless sensory networks for data collection applications in real
environmentals. This research covers several fields from physical
layer optimization up to network layer solutions. The problem which
has to be solved is viewed from three different perspectives: the
energy profile of the nodes with a special emphasis on the activity of
the sensing block, the network protocol with a special focus on
finding an adequate coding technique that need to reduce or eliminate
the request for retransmission and evaluating the range of
transmission for the proposed encoding technique.
If energy efficiency in wireless sensor networks is formulated as a
load balancing problem then the power management unit can
significantly contribute to reduction in power consumption. Power
management is implemented by switching on/off individual subblocks
of the sensor node independently of the hardware platform. By
reducing energy consumption both an extension of the lifetime of the
sensor node and sensor network, is achieved. The obtained energy
profiles reveal significant differences in energy consumption of
wireless sensor nodes depending in terms of external sensors number,
resolution of the analog-to-digital converter, network traffic
dynamics, topology of the network, applied coding techniques,
operating modes and activities during the lifetime of the sensor node
and other factors.
In this sense, the application of combination of power aware
techniques, such as the duty-cycling at system-level, and power
gating at the level of sensor elements, i.e. sensors, is proposed. An
evaluation of the approach shows that energy consumption reduction
three orders of magnitude on average can be achieved, when these
two techniques are incorporated into the sensor node.
On the other hand, in the wireless sensor networks, the choice of
coding scheme, i.e. channel coding depends on the application and
characteristics-, model-, type-errors appearing in the wireless channel.
For example, one encoding technique is preferred for use when burst
errors patterns are dominant, while another coding technique is more
acceptable in situations where noise causes random errors that are
either single or double in nature. Bearing this in mind, along with the
analysis of channel characteristics, in this dissertation, we propose a
new massage coding technique by which on extend traditional
protocols with aim to improve energy efficiency, while maintaining
high reliability in data transmission and low latency of message
transfer.
Namely, channel evaluation in wireless sensor networks used in
industry shows that most of the errors are of single or double nature,
and burst type errors are present, but rarely. In this context, in this
dissertation, an effective technique for correcting errors at a
destination (FEC) based on Hamming's coding scheme of relatively
low complexity, called Two Dimensional-Single Error Correction-
Double Error Detection (2D-SEC-DED) was developed. The
proposed encoding technique is intendet to minimize packet
retransmissions, thus saving energy. Evaluation of the proposed
encoding scheme shows that the code is able to correct all single
errors and 99.99% of double/multiple errors. The analysis was
carried out through the implementation, in MATLAB, of two versions
of Rendezvous Protocol for Long Life (RPLL), called Modified
RPLL (M-RPLL) and Ordinary RPLL (O-RPLL), respectively. The
energy gain achieved in this way is used to improve the performance
of wireless transmission, such as increasing of the transmission range.
As illustration, for indoor environment characterized by the path loss
exponent 4 at the target BER of 5 10 4 , the proposed encoding
scheme is able to improve the transmission distance by about 18 m ,
or the received signal strength (RSSI) by about 8.5 dBm compared to
wireless sensor networks with encoding schemes without possibility
to correct errors.
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