研究目的
To increase the overall performance of MANETs by avoiding nodes that are already overloaded through an extension to a path discovery algorithm called AODV-CBR.
研究成果
AODV-CBR performs better than AODV in an environment with high node and network utilization, exhibiting higher throughput and lower delay values with less routing overhead. In scenarios of low utilization, both protocols show almost equal results. The extension confirms that avoiding nodes that do not have sufficient capacity for a requested stream increases delivery of packets to receivers.
研究不足
The study focuses on MANETs with high network load and does not address scenarios with low utilization where both protocols show almost equal results. The simulation environment may not fully capture real-world conditions.
1:Experimental Design and Method Selection:
The study extends the AODV routing protocol with additional capabilities to influence the treatment of a received request, named AODV-CBR. It monitors and records the consuming bandwidth of each participant utilizing a route to make decisions about the treatment of an incoming RREQ.
2:Sample Selection and Data Sources:
The simulation environment in OMNeT++ was created to provoke congested network segments and bottlenecks, with parameters generating topologies where each node has several nodes in vicinity.
3:List of Experimental Equipment and Materials:
OMNeT++ simulation environment was used with specific parameters for topology size, number of nodes, transmitter range, sensing range, bitrate of nodes, and mobility.
4:Experimental Procedures and Operational Workflow:
Two runs were configured with different packet rates and numbers of sending and receiving nodes to investigate network behavior during different situations. Each run transmitted two packet flows to the same receiver to provoke decision-making by nodes.
5:Data Analysis Methods:
The study measured throughput and delay under different utilization scenarios, comparing AODV and AODV-CBR performance. Routing behavior was also investigated at runtime.
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