研究目的
To improve the quality of communications in wireless-optical broadband access networks (WOBAN) by developing a joint routing and channel assignment scheme that maximizes end-to-end probability of success and minimizes end-to-end delay for upstream traffic.
研究成果
The proposed JRCA scheme significantly improves network performance in WOBANs, with up to three times higher throughput and six times lower delay compared to single-channel scenarios, using 12 channels and 4 NICs. The combination of backtracking and genetic algorithms reduces convergence time by up to 90%, making it practical for implementation. Future work could address dynamic network conditions and further optimize computational efficiency.
研究不足
The model assumes static routers and known locations, which may not hold in dynamic environments. The interference model has dependencies among interferers that are not fully captured, and the computational complexity, though reduced, may still be high for very large networks. The simulations are based on specific parameters and may not generalize to all real-world scenarios.
1：Experimental Design and Method Selection:
The study uses a hybrid approach combining backtracking and genetic algorithms for channel assignment and routing in a multi-gateway, multi-channel WOBAN. It involves developing a route quality metric based on probability of success and delay, and simulating the network using ns-
2：Sample Selection and Data Sources:
A static network of 30 nodes placed in a uniform grid, with two gateways, and random UDP flows generated for 200 seconds each.
3：List of Experimental Equipment and Materials:
Network simulator ns-2, Intel Core2 Duo processor running at 2 GHz, multiple NICs per router, orthogonal channels based on IEEE 802.11 standards.
4：11 standards.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Construct conflict graph, apply vertex deletion to get planar subgraph, color planar subgraph with backtracking, use genetic algorithm on non-planar vertices, evaluate performance metrics (throughput, delivery ratio, delay, jitter) through simulations with varying flows, loads, and channels.
5：Data Analysis Methods:
Performance metrics are analyzed using ns-2 simulations; statistical comparisons are made between single-channel, random channel selection, and the proposed JRCA scheme.
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