Enhanced Technique For Maximizing Wireless Sensor Networks Lifetime Based On Utilizing The Phenomena Of Overlapping Nodes And Data Transmission
Wireless Sensor Networks (WSNs) have attracted the attention of the researchers in the last few decades due to their involvement in many applications such as monitoring environment, fire tracking, and health care monitoring. In WSN, sensor nodes are deployed on the target area to sense the requir...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.usm.my/47953/1/MOHAMMED%20ABDEL%20LATEIF%20AL-SHALABI%20-%20ENHANCED%20TECHNIQUE%20FOR%20MAXIMIZING.pdf |
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| Summary: | Wireless Sensor Networks (WSNs) have attracted the attention of the researchers
in the last few decades due to their involvement in many applications such as monitoring
environment, fire tracking, and health care monitoring. In WSN, sensor nodes
are deployed on the target area to sense the required events. The deployment of nodes
can be formal (in specific locations) or random (in random locations). In the WSN that
uses the random deployment of nodes, one of the common problems, when the sensors
are close to each other, is the overlapping between them. This overlapping causes
sensing approximately the same data by different nodes and also the transmission of
duplicate data to the Cluster Head (CH), which leads to more energy consumption.
Another problem in WSNs is the direct transmission of data from a CH to the Base
Station (BS), which also negatively influences the overall network lifetime. Moreover,
the random selection of the CHs leads to select nodes with low energy to be
CHs which reduces the network lifetime. This thesis intends to solve the overlapping
between nodes and the direct data transmission using different mechanisms. In this
thesis, a mechanism is proposed to prolong the network lifetime by reducing the negative
effect of the overlapping problem and utilizing the overlapping nodes to maximize
the efficiency of the network in terms of network lifetime and energy consumption.
This mechanism considers the distance between nodes in an efficient way in order to
identify the overlapping between them based on the nature of the application with considering
the blind area of the overlapping nodes. |
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