Congestion control scheme for energy efficiency of named data networking based mobile ad hoc network
Named Data Networking (NDN) was originally a proposed future Internet Protocol to solve content sharing and distribution problems on the Internet. At the same time, NDN has a lot of advantages as a communication protocol in Mobile Ad hoc Network (MANET). However, network congestion is a major cause...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/101471/1/FarkhanaMuchtarPSC2022.pdf |
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| Summary: | Named Data Networking (NDN) was originally a proposed future Internet Protocol to solve content sharing and distribution problems on the Internet. At the same time, NDN has a lot of advantages as a communication protocol in Mobile Ad hoc Network (MANET). However, network congestion is a major cause of energy wastage in NDN-based MANET like traditional MANET. Therefore, an efficient congestion control scheme is proposed, consisting of three different sub-scheme to tackle three different network congestion problems that resulting energy wastage. First, the Hopby- Hop Congestion Detection schemewas developed to deal with inaccurate congestion detection due to false positive and false negative errors. Secondly, the Preventive and Reactive Congestion Avoidance scheme was designed to handle intermittent bandwidth limit fluctuation, leading to a high congestion rate. Finally, the Congestion-Aware Load Balancing scheme was established to handle unbalanced shared bandwidth, leading to a high congestion rate. Performance comparison was conducted using testbed between proposed congestion control scheme with two existing congestion control solutions in NDN forwarder daemon (NFD), namely, Practical Congestion Control scheme for NDN (PCON) and Best Effort Link Reliability Protocol (BELRP). The performance of these schemes was measured and analysed using suitable metrics such as congestion detection rate, goodput and energy consumption of consumer nodes. In the baseline topology scenario, the proposed congestion control scheme had a better congestion detection accuracy with a congestion detection rate as low as 42.91%, compared to PCON (69.68%) and BELRP (43.37%). The proposed congestion control scheme also produced a better goodput of 3.39 kbps, compared to PCON (1.17 kbps) and BELRP (0.94 kbps) in the random mobility scenario. More importantly, in the random mobility scenario, the energy consumption of consumer nodes when using the proposed congestion control scheme was lower at 1445.7 joules, compared to PCON (4082.83 joules) and BELRP (5214 joules). In conclusion, the proposed congestion control scheme outperformed the aforementioned existing congestion control solutions. |
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