Modeling and analysis of multi-hop routing in wireless sensor networks by using matlab
Due to the limited energy and the non-equivalence of wireless sensor network nodes, it is imperative to reduce and rationally use the energy consumption of the nodes to prolong the network lifetime. In this project, a random multi-hop routing approach for wireless sensor networks was modeled and sim...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/379/1/24p%20ALI%20ABDULKHALEQ%20KHUDHUR.pdf http://eprints.uthm.edu.my/379/2/ALI%20ABDULKHALEQ%20KHUDHUR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/379/3/ALI%20ABDULKHALEQ%20KHUDHUR%20WATERMARK.pdf |
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| Summary: | Due to the limited energy and the non-equivalence of wireless sensor network nodes, it is imperative to reduce and rationally use the energy consumption of the nodes to prolong the network lifetime. In this project, a random multi-hop routing approach for wireless sensor networks was modeled and simulated. In order to minimize energy consumption and improve the network lifetime, the simulated protocol depends on the selection of specific sensor nodes to be cluster header for the wireless sensor nodes which receive the packets from other normal sensor nodes randomly and then send it to a base station or Sink. This project classifies the network into two sizes, large size and small size and does compression between both networks when applying this protocol in order to assist the improvement of these networks. Simulation results showed improvement when the network size is changed from a large size to a small size. The lifetime is improved by about 76% that means the number of the round is increased from 80 -333, as well as the end to end delay, is improved around 30% from 180 ns – 280 ns to 100 ns – 170 ns. While for throughput, it is improved 85% from 5x106 bits to 2.5x107 bits. The packet loss also showed the improvement from 12000 to 2500 which means the improvement is about 20.83%. Lastly, the residual energy is improved by 73% approximately 3200 s (1200 s ~ 4400). |
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