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Adaptation of TDMA Parameters Based on Network Conditions Bora KARAOGLU
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Agenda PHY Layer Abstraction Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
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Agenda PHY Layer Abstraction Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
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PHY Layer Abstraction BW Each tx occupies some part of the BW Transmissions should overcome any noise present in the space of the BW Divide Spatial reuse
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PHY Layer Abstraction TDMA: Divide BW along time axis Clustering: Distribute parts of BW spatially among clusters
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Agenda PHY Layer Abstraction Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
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Protocol Overview TDMA Soft Clustering CHs responsible for channel access only Inter cluster communication is allowed TDMA Soft Clustering CHs responsible for channel access only Inter cluster communication is allowed
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Agenda PHY Layer Abstraction Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
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Analytical Analysis Shortcomings of Simulations Substantial Processing Power and Time Repetitions for statistical accuracy Valid only for the parameters set used Scalability of Simulation Area Edge Effects Shortcomings of Simulations Substantial Processing Power and Time Repetitions for statistical accuracy Valid only for the parameters set used Scalability of Simulation Area Edge Effects
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Analytical Analysis Factors limiting performance: Dropped Packets Real-time communication Limited Local Capacity Clustering Uneven distribution of Load Node Distributions Mobility Collisions Spatial Reuse Limited BW Divisions
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Dropped Packets Probability of Dropping a Packet Capacity per Cluster: Number of Data Slot per Frame Nonlinear relation between Load and P dp Detailed probability distribution of Load is needed
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Dropped Packets p s : Probability of a node to be in spurt duration p A : Probability of a node to be in the communication range of a CH p d : Probability of a node that is in the communication range of a CH to choose that CH as its channel access provider Independent of Node Density assumed constant
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Dropped Packets p s : Probability of a node to be in spurt duration p A : Probability of a node to be in the communication range of a CH p d : Probability of a node that is in the communication range of a CH to choose that CH as its channel access provider p dn = p s p A p d
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Collisions Number of frames (N f ) vs. co-frame CH separation(d ch ) Labeling structure used in cellular systems
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Collisions co-frame CH separation (d ch ) vs. number of collisions ( f coll )
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Collisions co-frame CH separation (d ch ) vs. number of collisions ( f coll ) N nCH : Expected number of nodes in the cluster N n : Total number of nodes N C : Number of cluster in 2*r comm range V : Region bounded by the circle with radius 2*r comm around origin fcoll : number of packets lost per SF due to collision
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Agenda Soft Clustering Approaches Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
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Proof of Concept Total Number of Packets Lost per Superframe
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Proof of Concept RX Throughput per Superframe
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Agenda Soft Clustering Approaches Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
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Optimization of TDMA parameters
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Other Uses of the Model Instantaneous Analysis Results for changing Transmission Power Propagation Model PHY Specs: Freq, Threshold values … Asymptotic Behavior Energy Consumption Average node sleep/awake durations Average energy consumption per node Node and CH comparison wrt energy consumption Optimization of Nf wrt energy consumption
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Throughput Per Node
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Energy Consumption per Node
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