Fuzzy logic system and mediation device node with grids for energy saving in wireless sensor network
Wireless Sensor Networks (WSN) are widely used in many applications. However, it still suffering from many issues such as packet loss, idle listening, high delay, and distance between nodes which all contribute to increase energy consumption and dissipation in WSN. In order to reduce this energy...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/90770/1/FSKTM%202019%2058%20IR.pdf |
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| Summary: | Wireless Sensor Networks (WSN) are widely used in many applications. However, it still
suffering from many issues such as packet loss, idle listening, high delay, and distance
between nodes which all contribute to increase energy consumption and dissipation in
WSN. In order to reduce this energy dissipation, this research concentrates on the
Hierarchal routing Medium Access Control (MAC) protocols on how to solve the
aforementioned problems. This research proposes the Grid Mediation Device (GMD)
Node to minimize the idle listening of the active dura- tion for each node, the nodes are
put to sleep mode for a reasonably long period of time and they wake up for a short
time only to receive data. This behavior reduces the energy consumption for each sensor
while minimizing the delay since the clusterheads will not wait for the sleeping nodes
that have no data to send. Thereafter, the active clusterheads will be also put in the
sleeping mode once they finish their data transmission. Simulation and mathematical
model of the proposed GMD protocol have confirmed that the proposed GMD can
improve the lifetime for all sensor nodes in the network, due to minimizing the idle
listening time for each node. Moreover, adding Multi-levels of grids and Multi-level of
MD node to the GMD protocol that will minimize the distance of sending data from each
level cluster grid to another level until reach to the base station instead of sending data
directly from any cluster to the base station, because the path between nodes and cluster
head is not reliable and the nodes are far from each other in different grid. This research
leads to reduce packets lost problem as well makes the network more reliable which is
another contribution of this study. Lastly, this research adding Fuzzy logic system to
the grids to minimize the problem of the distance between nodes as using three fuzzy
logic criteria for each node will lead to choosing the optimal location and energy for
each clusterhead and each node. The three pro- posed protocols have been compared to
the Two-Dimensional Technique Based on Centre of Gravity and Energy (TDTCGE)
protocol which is used two-dimensional technical centers (energy Centres and Gravity
Centres) that will help to reduce the energy consumption and distances between nodes.
Moreover, some of the proposed protocol derives better system performance such as end-to-end delay, throughput, lifetime, and energy saving. The Grid Mediation Device
(GMD) protocol with Mathematical model has improved the lifetime around 88% as
compared with the TDTCGE. In addition, The Fuzzy Logic grids (FLG) protocol saves
more than 8% energy battery by adding the Fuzzy logic with the three criteria’s
(Distance between nodes, distance to the basestation, residual energy) that will minimize
the radius competitions between nodes and the clusterhead, and between the nodes and
BS by 52% more than TDTCGE protocol. GMD Simulation protocol de- creases the
mean of delay by 40% because of the sleeping mode, and which node has data that it
has the turn to transmit data only. In addition, Multilevel GMD Proposed protocol
reduces the packets lost by 65%. This Research Work improves the lifetime and saving
more energy which is also more reliable and efficiency for the wireless sensor network. |
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